Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Biology
- Business
- Arts and Literature
- Law
- Social Sciences
- Science
- Humanities
- Education
- Mathematics
- Psychology
- Environment
- Chemistry
- Linguistics
- Sports and Recreation
- Materials Science
- Electrical Engineering
- Philosophy
- Design
- Physics
- 13 more »
- « less
-
human expert ratings. ESSENTIAL QUALIFICATIONS Graduate student or professional in Computer Science, Data Science, Computational Linguistics, or related field Strong Python programming skills (pandas
-
genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
-
in bioinformatics or genomic data analysis, and possess strong programming skills in languages commonly used in bioinformatics, such as Python and R. Candidates should also have experience with genomic
-
workloads including embedding generation, LLM inference, and cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving
-
Ph.D. with demonstrated R&D experience. Development experience with bash scripting and Python, and/or embedded development (C/C++/etc). Knowledge on cellular systems, 3GPP, open RAN. Knowledge of Linux
-
willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming languages is
-
statistical modeling, machine learning, data analysis, and reporting Proficiency in Python or R Ability to plan, execute and control a project, establishing realistic estimates and reporting timelines Advanced
-
Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical
-
Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing
-
-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