Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- Stanford University
- Macquarie University
- Argonne
- EPFL
- Harvard University
- Helmholtz Association of German Research Centres
- NEW YORK UNIVERSITY ABU DHABI
- University of Minnesota
- Aarhus University
- CNRS
- Delft University of Technology (TU Delft)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Pennsylvania State University
- Technical University of Munich
- University of Oxford
- University of Washington
- Utrecht University
- Aalborg University
- Cornell University
- Duke University
- Institut Pasteur
- New York University
- Oak Ridge National Laboratory
- SciLifeLab
- Stony Brook University
- The Ohio State University
- The University of Iowa
- University of North Carolina at Chapel Hill
- University of Vienna
- Wayne State University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Chalmers University of Technology
- ETH Zürich
- Empa
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- ICN2
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Maastricht University (UM)
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Queen Mary University of London
- Queen Mary University of London;
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University College Cork
- University of Florida
- University of London
- University of Lund
- University of Turku
- Virginia Tech
- Vrije Universiteit Brussel
- Yale University
- ;
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- Aarhus University (AU)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- CEA
- Computer Vision Center
- ESSEC Business School
- Fundació per a la Universitat Oberta de Catalunya
- Helmholtz-Zentrum Geesthacht
- Human Technopole
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- IRCM - Cancer Research Institute of Montpellier
- Imperial College London
- Institute of Marine Research
- KTH Royal Institute of Technology
- KU LEUVEN
- King's College London
- Lancaster University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Massachusetts Institute of Technology
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Max-Delbrück-Centrum für Molekulare Medizin
- Missouri University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- Poznan University of Technology
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saarland University
- South Dakota Mines
- Texas A&M University
- Télécom Paris
- Umeå University
- University College Dublin
- University of Amsterdam (UvA)
- University of British Columbia
- University of California
- University of California Berkeley
- University of California Irvine
- University of Canterbury
- University of Colorado
- 90 more »
- « less
-
Field
-
; expertise in several of the following: life cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and
-
dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
-
used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
-
learning and physics, addressing key challenges in modern quantitative biology. The successful candidate will be responsible for: • Develop and train deep learning models (CNNs, ...) data to predict IPLSs
-
design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
-
, linear mixed models, or deep learning architectures). A solid theoretical background in literacy development, child language acquisition, or psycholinguistics. A record of academic publishing and high
-
. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
-
as a member of the GHER contributing to the EU research project COMEDI in a consortium of 11 leading partners in the field of data assimilation and deep learning. A successful applicant will develop
-
to the group’s open-source software, and participation in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer science
-
school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a