Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- United Kingdom
- Sweden
- Spain
- Singapore
- Netherlands
- Belgium
- Portugal
- Norway
- Denmark
- Poland
- Austria
- Australia
- Canada
- Czech
- Switzerland
- Italy
- Finland
- Luxembourg
- Ireland
- United Arab Emirates
- Hong Kong
- Morocco
- Cyprus
- Brazil
- China
- Romania
- Latvia
- Bulgaria
- New Zealand
- Japan
- Lithuania
- Croatia
- Estonia
- Greece
- Kuwait
- Malta
- Slovakia
- Andorra
- Europe
- India
- Mexico
- Slovenia
- Worldwide
- 36 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Science
- Mathematics
- Materials Science
- Business
- Chemistry
- Environment
- Earth Sciences
- Psychology
- Humanities
- Electrical Engineering
- Arts and Literature
- Linguistics
- Education
- Physics
- Social Sciences
- Law
- Sports and Recreation
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
-
preferred candidate will have experience teaching data wrangling, programming in Python and base R, and industry experience in data analytics or data science. The role will cover the full range of duties
-
-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
-
Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working independently and
-
micro data on firms, banks, investors, currencies, trade and financial asset transactions is welcome. Familiarity with Python, Stata, R, MATLAB, SQL is preferred. Candidates should address how they would
-
statistical and machine learning methods, particularly for high-dimensional or longitudinal data. Demonstrable experience in research software development using R or Python and a track record of contributing
-
data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
-
data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
-
knowledge of programming, including Linux, Python, and R. Candidates having background knowledge in neuroimaging, machine learning, and/or genomics/genetics are encouraged. Excellent communication and writing