Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- ETH Zurich
- Harvard University
- Technical University of Munich
- Oak Ridge National Laboratory
- Pennsylvania State University
- Carnegie Mellon University
- EPFL
- Nanyang Technological University
- Northeastern University
- The University of Chicago
- Virginia Tech
- AALTO UNIVERSITY
- Delft University of Technology (TU Delft)
- NEW YORK UNIVERSITY ABU DHABI
- National University of Singapore
- Stony Brook University
- University of California
- University of Texas at Arlington
- Aarhus University
- Duke University
- Durham University
- Earlham Institute
- Forschungszentrum Jülich
- HHMI
- Rutgers University
- SciLifeLab
- University of Oxford
- University of Texas at Austin
- VIB
- CNRS
- Curtin University
- Fraunhofer-Gesellschaft
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Jane Street Capital
- KTH Royal Institute of Technology
- KU LEUVEN
- King Abdullah University of Science and Technology
- Michigan Technological University
- Monash University
- North Carolina State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Saarland University
- Simons Foundation;
- Stanford University
- The Ohio State University
- UNIVERSITY OF SURREY
- University of California, Los Angeles
- University of Delaware
- University of Glasgow
- University of Luxembourg
- University of Nevada Las Vegas
- University of North Carolina Wilmington
- University of Oslo
- University of Pittsburgh
- University of South Carolina
- University of Southern California
- University of Toronto
- Utrecht University
- Yale University
- ;
- ARQUIMEA RESEARCH CENTER
- Aarhus University (AU)
- Argonne
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Baylor College of Medicine
- Blekinge Institute of Technology
- CRANFIELD UNIVERSITY
- California Institute of Technology
- California State University, San Bernardino
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Center for Devices and Radiological Health (CDRH)
- Constructor Knowledge Labs gGmbH
- Cornell University
- Dana-Farber Cancer Institute (DFCI)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- European Molecular Biology Laboratory (EMBL)
- Fundació per a la Universitat Oberta de Catalunya
- Georgetown University
- Georgia Southern University
- Great Bay University
- Grenoble INP - Institute of Engineering
- Hong Kong Polytechnic University
- Iliad
- Istituto Italiano di Tecnologia
- Johns Hopkins University
- Karolinska Institutet, doctoral positions
- King's College London
- Koç University
- Lehigh University
- MASARYK UNIVERSITY
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Missouri University of Science and Technology
- Mohamed bin Zayed University of Artificial Intelligence
- NTNU Norwegian University of Science and Technology
- Norwegian Institute of Bioeconomy Research
- Oden Institute for Computational Engineering and Sciences
- Purdue University
- 90 more »
- « less
-
Field
-
. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
-
(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
-
methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
-
to transition concepts into impactful technical capabilities especially with respect to Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and Generative AI but more specifically
-
configuring GPU-enabled systems for deep learning tasks. o Network Administration: Strong understanding of networking concepts, including TCP/IP, routing protocols, VLANs, and Layer 2 switching. Experience with
-
a related discipline A minimum of 4 years of applied experience Hands-on experience with training machine learning models on high performance computing infrastructures leveraging GPU accelerators
-
: The successful candidate will have a PhD (awarded or expected within 6 months) in Computer Science, AI, Machine Learning, Computational Biology, Mathematics, Statistics, Physics, Engineering, or a related
-
Evidence of research achievement at the very highest international level, including a strong record of publications in top-tier venues in AI/machine learning and evidence of significant influence
-
). The applicant’s experience must be related to the tasks to be conducted, to the job description herein or to: · Training of multimodal models based on deep learning and GPU computing. · Evaluation and deployment
-
/access management, network configuration, storage integration, service management, and lifecycle support for physical servers, virtual machines, workstations, and/or storage platforms across one or more