Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of North Carolina at Chapel Hill
- New York University
- Stanford University
- Oak Ridge National Laboratory
- Cornell University
- ETH Zürich
- NEW YORK UNIVERSITY ABU DHABI
- THE UNIVERSITY OF HONG KONG
- University of Washington
- Brookhaven National Laboratory
- Chalmers University of Technology
- Istituto Italiano di Tecnologia
- Lunds universitet
- Princeton University
- University of Amsterdam (UvA)
- University of Basel
- University of Oxford
- Aalborg University
- Aarhus University
- Argonne
- Arizona State University
- CNRS
- Eindhoven University of Technology (TU/e)
- Leiden University
- Linköping University
- Michigan State University
- National Renewable Energy Laboratory NREL
- Texas A&M University
- Télécom Paris
- University of Colorado
- University of Copenhagen
- University of Luxembourg
- University of Nevada, Reno
- University of Oslo
- University of South Carolina
- AI4I
- Academia Sinica
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne National Laboratory
- BARCELONA SUPERCOMPUTING CENTER
- Boston University
- Brown University
- Cardiff University
- Center for Theoretical Physics PAS
- Constructor University Bremen gGmbH
- Duke University
- Durham University
- ERATOSTHENES CENTRE OF EXCELLENCE
- East Carolina University
- FAPESP - São Paulo Research Foundation
- GFZ Helmholtz-Zentrum für Geoforschung
- Harvard University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Hong Kong Polytechnic University
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Theoretical Physics
- KINGS COLLEGE LONDON
- Karolinska Institutet (KI)
- LNEC, I.P.
- Linköpings universitet
- Luxembourg Institute of Health
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Massachusetts Institute of Technology (MIT)
- Mälardalen University
- Nagoya University
- Northeastern University
- Rutgers University
- SLU
- Singapore-MIT Alliance for Research and Technology
- Technical University of Denmark
- Technical University of Munich
- Texas Christian University
- The Cyprus Institute
- The Peace Research Institute Oslo (PRIO)
- The University of Iowa
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- Umeå University
- Umeå universitet
- Universidad Nebrija
- Universidad Politecnica de Cartagena
- Universidad Pontificia Comillas
- University of California
- University of Cambridge;
- University of Canterbury
- University of Connecticut
- University of Houston
- University of Lincoln
- University of Lund
- University of Michigan
- University of Michigan - Ann Arbor
- University of Minnesota
- University of Nevada Las Vegas
- University of Oregon
- University of Oxford;
- University of Southern Denmark
- University of Texas at Arlington
- University of Texas at Dallas
- 90 more »
- « less
-
Field
-
. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
-
. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
-
Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical
-
, etc.) o Energetic frustration or protein energy landscape analysis o Machine learning in protein science o +2 years of experience after PhD Knowledge of evolutionary biology concepts (phylogenetics
-
. Teaching skills. Additional assessment criteria: A strong ability to develop and conduct high-quality research independently. Experience using deep learning methods and computer vision with biological data
-
–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype
-
participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant
-
methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
-
-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
-
pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer