Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- Carnegie Mellon University
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- HHMI
- Technical University of Munich
- Harvard University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Argonne
- Nanyang Technological University
- Princeton University
- The Ohio State University
- Duke University
- University of Birmingham
- ETH Zurich
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Stanford University
- University of Glasgow
- University of Luxembourg
- DAAD
- Hong Kong Polytechnic University
- Imperial College London
- Leibniz
- McGill University
- New York University
- North Carolina State University
- Northeastern University
- Rutgers University
- SUNY Polytechnic Institute
- Technical University of Denmark
- The University of Chicago
- University of Florida
- University of Miami
- University of North Carolina at Chapel Hill
- University of Sheffield
- University of South Carolina
- University of Texas at Austin
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aalborg University
- Aarhus University
- California Institute of Technology
- Central Michigan University
- Cornell University
- Dublin City University
- ETH Zürich
- Florida International University
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- Jane Street Capital
- K3Y Ltd
- Lawrence Berkeley National Laboratory
- Linköping University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Michigan Technological University
- NIST
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- SciLifeLab
- Stony Brook University
- Texas A&M University
- University of California
- University of Colorado
- University of Lund
- University of Nevada Las Vegas
- University of Oslo
- University of Texas at Arlington
- University of Toronto
- University of Utah
- University of Washington
- AALTO UNIVERSITY
- AI4I
- AIT Austrian Institute of Technology
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
- Auburn University
- Barnard College
- Binghamton University
- Blekinge Institute of Technology
- Brookhaven National Laboratory
- Brown University
- Case Western Reserve University
- Center for Devices and Radiological Health (CDRH)
- Centro de Astrofisica da Universidade do Porto
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Drexel University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- Eindhoven University of Technology (TU/e)
- Electronics and Informatics Department
- Embry-Riddle Aeronautical University
- Erasmus MC (University Medical Center Rotterdam)
- FAPESP - São Paulo Research Foundation
- Florida Atlantic University
- Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM)
- Ghent University
- Heidelberg University
- 90 more »
- « less
-
Field
-
, implementing input sanitization, and contributing to AI‑safety research. Utilizing GPU/TPU resources, mixed‑precision training, and distributed training frameworks such as DeepSpeed or ZeRO. Prior work
-
benchmark them with a realistic case study. The main focus of the project can develop either more in the mathematical theory of MCMC, the implementation of code for the Jülich supercomputers (GPU/CPU
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
balance Training and international experience in public–private partnerships Mentoring for career development Access to high-performance computational resources (with GPUs) A collaborative environment
-
balance Training and international experience in public–private partnerships Mentoring for career development Access to high-performance computational resources (with GPUs) A collaborative environment
-
of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing
-
(OMOP CDM, FHIR) or metadata harmonisation Experience with ETL tools, workflow engines, or bigdata frameworks (e.g., Spark, NiFi, KNIME) Familiarity with containerisation (Docker) and HPC or GPU computing
-
models on GPU-based systems; familiarity with HPC environments is an advantage Interest in interdisciplinary research at the interface of AI and genomics; prior experience with biological data
-
made at the Postdoctoral Research Associate rank. The AI Postdoctoral Research Fellow will have access to the AI Lab GPU cluster (300 H100s). Candidates should have recently received or be about to
-
or research experience in computer vision or machine learning. • Experience optimizing models for real-time inference on edge and embedded platforms using techniques such as quantization, pruning, and GPU
-
following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC