Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Argonne
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- Forschungszentrum Jülich
- AI4I
- Aarhus University
- Harvard University
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- SUNY Polytechnic Institute
- Technical University of Munich
- University of Nebraska Medical Center
- University of Utah
- Brookhaven National Laboratory
- Czech Technical University in Prague
- Duke University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ETH Zürich
- Embry-Riddle Aeronautical University
- Erasmus MC (University Medical Center Rotterdam)
- Flanders Institute for Biotechnology
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICN2
- Istituto Italiano di Tecnologia
- King's College London
- La Rochelle Université
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Northeastern University
- RIKEN
- Rutgers University
- Technical University of Denmark
- Texas A&M University
- Umeå universitet stipendiemodul
- University of Jyväskylä
- University of Luxembourg
- University of Miami
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Turku
- Utrecht University
- VIB
- 34 more »
- « less
-
Field
-
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
-
in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch
-
. In addition, CVI2 provides high-performance GPU computing resources that support the design and training of advanced AI models. The research agenda of CVI2 focuses on cutting-edge topics such as 3D
-
programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
-
novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning
-
Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
-
approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting
-
Starting Date 4 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number IA/26/8 Is the Job related to staff position within a Research
-
Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in
-
and or Python required, experience with wireless testbeds desirable, some familiarity with GPU programming desirable (to support collaboration with NVIDIA) Duke is an Equal Opportunity Employer