Datavetenskap Jobs

I'm looking for a proficient Python developer to assist in the ongoing development of an algorithmic trading bot. Key responsibilities will include: - Handling Data Collection and Preprocessing - Strategy Development - Execution and Order Management The ideal candidate should have a solid understanding of clean code practices and a basic familiarity with Indian stock market concepts. Your role will not involve building the bot from scratch, but rather completing specific tasks or modules. Some specifications are available for the modules you will be working on, but you will also need to interpret and define some requirements yourself. Preferred Libraries: - Pandas - NumPy Skills & Experience: - Proficient in Python - Experience with algorithmic trading bots - Familiarity wi...

Budget : 2$ to 5$ ph I am seeking a mentor to help us study 30 AI-based research papers. (optional: guiding practical implementation of some of the research papers) The ideal candidate for this project would be an expert in Artificial Intelligence with a deep understanding of its various aspects. Experience in mentoring and practical implementation of AI research is a plus.

Budget : 25$ total. As an intermediate AI enthusiast, I am seeking a mentor to help us study 30 AI-based research papers. The mentor's role will involve: - Supporting the study of the topic - Assisting me in understanding complex concepts within these papers - Guiding practical implementation of some of the research papers The ideal candidate for this project would be an expert in Artificial Intelligence with a deep understanding of its various aspects. Experience in mentoring and practical implementation of AI research is a plus.

I need the 3 tables from a research paper to be replicated in R. Accurate results are crucial. After replication, please explore additional variables or perform permutations and combinations to uncover unique insights or narratives for a research project, ideally yielding 3 successful results. Key aspects of the project: - Main focus: Statistical analysis - Data type: Mixed data (both numerical and categorical) - Key technique: Regression analysis Ideal skills for this job include: - Proficiency in R and statistical analysis - Experience with mixed data sets - Ability to derive unique insights from data

I am looking for a data analyst proficient in statistical methods to help with my patient records data. Key requirements: - Analyze patient records to extract meaningful insights - Identify patterns, trends and anomalies in the data - Report findings in a clear and concise manner Ideal skills: - Proficient in statistical analysis - Experience with patient records - Strong data visualization and reporting skills

I'm seeking a GIS professional with expertise in QGIS to assist with data conversion and integration for the creation of thematic maps. Your primary responsibilities will include: - Data Conversion and Integration: Transforming and integrating various spatial data sets to prepare them for mapping. - Thematic Map Creation: Utilizing QGIS to develop insightful and visually compelling thematic maps from the prepared data. Ideal candidates will have a solid understanding of GIS principles, extensive experience with QGIS, and a strong ability for spatial data analysis and mapping. If you are detail-oriented, have a knack for visual storytelling through maps, and can effectively integrate complex data sets, I would love to hear from you.

Forecasting Software The goal of the software is to identify price volatility and, consequently, the positive and negative fluctuations that Bitcoin will have over the next 7 days. This data will be used to find a historical time series from the past that had percentage fluctuations (not based on price levels) as similar as possible. Once the most similar 7-day historical series to the predicted future series is found, the date of the historical series should be displayed on the screen. The entire software must be fully "commented" and explained in every function and calculation, clarifying the practicality and utility of each element within the model and highlighting the added value it provides. The software must include a frontend to visualize the period (between two dates) th...

I would like to write a research paper on the following topic: Influence of the Desire for Money on Empathy and Prosocial Behavior in High-Pressure Environments. I would need to gather data for this paper in order to make schemes, graphs, tables, etc. This can be done through the following: Surveys and Questionnaires: Create surveys to measure individuals' desire for money, empathy, and prosocial behaviors. Distribute them in high-pressure environments like corporate offices or medical fields. Behavioral Experiments: Conduct economic games (e.g., Dictator Game) and controlled experiments where participants choose between money and prosocial actions under stress. Observational Studies: Observe behaviors in workplace settings during high-stress periods, using natural experiments to c...

I'm seeking a seasoned sports analyst with expertise in predicting player and team performance across various sports. The primary focus will be on football, basketball, baseball, and hockey. Key Responsibilities: - Develop a comprehensive prediction model analyzing all aspects of player performance, team dynamics, offensive, and defensive strategies. - Utilize advanced analytical techniques to assess and predict game outcomes. - Provide insightful interpretations of data to assist in understanding complex team dynamics. Ideal Skills: - Proficient in sports analytics with a strong background in prediction modeling. - Proficient in mathematical algorithms as well as predictive modeling - Expertise in analyzing multi-dimensional data sets. - Exceptional understanding of football, ba...

I am seeking an experienced theoretical physicist with a strong background in mathematical modeling and data algorithms. The main objective of this project is to use these skills for predictive analysis based on categorical data. Key Responsibilities: - Develop mathematical models to analyze and predict outcomes based on categorical data. - Utilize data algorithms to enhance the accuracy and efficiency of the predictive analysis. - Interpret the results and provide insights based on the analysis. Ideal Skills and Experience: - Proven experience in theoretical physics, particularly in creating and applying mathematical models and data algorithms. - Strong background in predictive analysis. - Excellent understanding of categorical data. - Ability to explain complex concepts in a simple, u...

Job Title: AI & Machine Learning Mentor (Co-PI Role) – NIH Grant Proposal on Stress and Health Equity ________________________________________ Job Description: We are seeking a highly qualified Ph.D. holder in Computer Science with expertise in artificial intelligence (AI) and machine learning to join our NIH-funded research initiative as a mentor and strategic advisor. Our research focuses on leveraging AI and machine learning models to address health disparities among underserved populations by analyzing stress markers and developing predictive models that improve diagnostic accuracy while addressing algorithmic bias. Key Responsibilities: • Mentorship and Guidance: o Provide strategic oversight and mentorship to a team of researchers and developers working on AI-d...

I'm seeking a GIS analyst with a background working for the NSW government to assist with spatial analysis of environmental data. The primary objective is to create maps based on this analysis. Ideal Skills: - Proficient in GIS software - Experience with spatial analysis and environmental data - Strong cartographic skills Please include relevant past projects in your proposal.

I am looking for a Data Strategy Consultant who can help me create a comprehensive data strategy.

I'm in need of a biostatistician specializing in descriptive statistics to assist with analyzing SPC (Statistical Process Control) data. The primary goal of this analysis is quality control. Key Responsibilities: - Conduct descriptive statistical analysis on SPC data. - Identify potential quality issues through data analysis. Ideal Candidate: - Proven experience in biostatistics and quality control analysis. - Strong skills in descriptive statistics. - Familiarity with SPC data. - Excellent attention to detail.

Here, I have used a Long Short Term Memory Network (LSTM) for building your model to predict the stock prices of Google. LTSMs are a type of Recurrent Neural Network for learning long-term dependencies. It is commonly used for processing and predicting time-series data. From the image on the top, you can see LSTMs have a chain-like structure. General RNNs have a single neural network layer. LSTMs, on the other hand, have four interacting layers communicating extraordinarily. The model considers various aspects to predict the stock market trends .

I'm in need of a freelancer with robust experience in Natural Language Processing (NLP) techniques and time series analysis. The project revolves around utilising NLP for clustering, developing prediction models and performing time series analysis on Human Resources data. Key Aspects: - Clustering: Identifying distinct groups within the HR data - Prediction Models: Creating models to forecast HR trends - Time Series Analysis: Analyzing HR data across different time periods Ideal Skills and Experience: - Proficient in NLP techniques - Extensive experience in time series analysis - Background in Human Resources data analysis is a plus - Ability to work with variable frequency tables

I'm seeking help with my degree project focused on wildlife conservation and environmental management . The project is in the Environment sector and aims to address specific conservation challenges. Using ArcGIS The ideal freelancer for this project should: - Have a background or strong understanding of environmental studies, particularly in land use and wildlife I need someone who can provide valuable insights and assist in refining my final ArcGIS project workbook

Project Description: We are seeking an expert to help us develop a solution for stock protection and inventory prediction in a manufacturing environment. The goal is to optimize inventory management by predicting stock levels, minimizing stockouts, and preventing overstocking, thereby improving overall supply chain efficiency and reducing costs. Scope of Work: Stock Protection: Develop a system that ensures manufacturing companies maintain optimal stock levels while minimizing risks related to inventory loss or mismanagement. This could include: Real-time tracking of stock levels. Automated alerts for stock discrepancies. Prevention mechanisms for stock damage or loss. Inventory Prediction: Build a predictive model that forecasts inventory needs based on historical data, sales patterns...