Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- Aalborg University
- Oak Ridge National Laboratory
- University of Vienna
- Stanford University
- AALTO UNIVERSITY
- Argonne
- Cornell University
- Heriot Watt University
- Inria, the French national research institute for the digital sciences
- The University of Arizona
- University of Antwerp
- CNRS
- Chalmers University of Technology
- KTH Royal Institute of Technology
- KU LEUVEN
- Karolinska Institutet (KI)
- Lehigh University
- NEW YORK UNIVERSITY ABU DHABI
- Pennsylvania State University
- Radboud University
- University of Gdansk
- University of Lund
- University of Minnesota
- University of Oxford
- University of Texas at Dallas
- University of Washington
- Virginia Tech
- Yale University
- Aalborg Universitet
- Aarhus University
- Aix-Marseille Université
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Austrian Academy of Sciences, The Vienna Institute of Demography (VID)
- Broad Institute of MIT and Harvard
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Centre for Genomic Regulation
- Claremont McKenna College
- Duke University
- EPFL
- Ecoles Pratique des Hautes Etudes - PSL
- Empa
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Institute of Photonic Sciences
- Istituto Italiano di Tecnologia
- Lawrence Berkeley National Laboratory
- Linköping University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Physics, Garching
- Medical University of Vienna, Radiation Oncology
- Mohamed bin Zayed University of Artificial Intelligence
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Purdue University
- Research Center for Molecular Medicine (CeMM), ÖAW
- SciLifeLab
- St Jude Children's Research Hospital
- Stony Brook University
- Technical University of Munich
- The University of Iowa
- Toyota Technological Institute
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Colorado
- University of Florida
- University of Liverpool
- University of Manchester
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Oslo
- University of South Carolina
- University of Tübingen
- Universität Wien
- Université Bourgogne Europe
- Utrecht University
- Łukasiewicz Research Network - Krakow Institute of Technology
- 70 more »
- « less
-
Field
-
. The postdoc project advertised here will focus on the quantitative studies in Italy and run in parallel with a PhD project focused on the Netherlands. Job description The first phase, consisting of qualitative
-
architectural design decisions for massively parallel heterogeneous systems, including pathways that integrate quantum or analog co-processors. Performance Engineering at Scale: Profile, model, and optimize
-
, including parallel computing frameworks, C/C++, Julia and/or python Experience with training AI surrogate and/or inverse models Experience working in underground laboratories and/or clean rooms Excellent
-
photoautotrophic and aerobic heterotrophic growth to enhance lipid and pigment productivity. In parallel, customised downstream processing strategies are developed for the extraction and purification of lipids
-
develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
-
of human biological fluids (such as blood and urine), to ensure successful implementation in various clinical and exposomics applications. In parallel, methods for targeted metabolomics/lipidomics need to be
-
, or network-based modeling of infrastructure or industrial systems. Familiarity with high-performance computing, cloud computing, or parallel computing environments for training models and solving optimization
-
scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
-
introduced by our group while developing new ones, and we couple this work with innovative strategies to define the molecular basis for their modes of action in bacterial cells. In parallel, we investigate how
-
freely behaving rodent pups. A parallel research line investigates the circuit-level basis of spatial memory in the entorhinal–hippocampal system in adult animals. The group uses in vivo multi-site