Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- CNRS
- Technical University of Munich
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- National Aeronautics and Space Administration (NASA)
- University of Luxembourg
- Chalmers University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Aalborg University
- Stony Brook University
- Cornell University
- Singapore-MIT Alliance for Research and Technology
- Aarhus University
- Carnegie Mellon University
- University of Maryland, Baltimore
- Duke University
- THE UNIVERSITY OF HONG KONG
- University of Oxford
- University of Sydney
- Bucharest Universty of Economic Studies
- Delft University of Technology (TU Delft)
- Technical University of Denmark
- Texas A&M University
- University of Basel
- University of Liverpool
- University of Minnesota
- University of North Carolina at Chapel Hill
- AALTO UNIVERSITY
- Brookhaven National Laboratory
- Harvard University
- Inria, the French national research institute for the digital sciences
- Umeå University
- University of Liverpool;
- University of London
- University of Nebraska Medical Center
- University of Twente
- Aalborg Universitet
- Baylor College of Medicine
- DURHAM UNIVERSITY
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- George Washington University
- Heriot Watt University
- Jönköping University
- Linköping University
- Princeton University
- Queen Mary University of London;
- SUNY Polytechnic Institute
- Texas A&M AgriLife
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF SYDNEY
- University of Central Florida
- University of Colorado
- University of Copenhagen
- University of Lund
- University of Miami
- University of Texas at Dallas
- University of Washington
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ;
- Argonne National Laboratory
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Beijing Academy of Quantum Information Sciences
- Bilkent University
- Biobizkaia Health Research Institute
- Broad Institute of MIT and Harvard
- Brown University
- CEA Grenoble
- CEA-Saclay
- California Institute of Technology
- Consejo Superior de Investigaciones Científicas
- Constructor University Bremen gGmbH
- Dartmouth College
- Deutsches Elektronen-Synchrotron DESY
- Durham University
- Durham University;
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ERATOSTHENES CENTRE OF EXCELLENCE
- Ecole Normale Supérieure de Lyon
- Episteme
- European Space Agency
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fred Hutchinson Cancer Center
- Fudan University
- Georgia Institute of Technology
- Hanyang University
- Heriot-Watt University;
- IFM/Linköping University
- Indiana University
- Institute of Hematology and Center for Hemato-Oncology Research
- Institute of Theoretical Physics
- Instituto Superior Técnico
- Instituto de Engenharia Mecânica
- KAUST
- 90 more »
- « less
-
Field
-
program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance
-
University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single
-
by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
-
to be developed: Analyze iEEG data. Develop multimodal algorithms. Perform the characterization of the epileptogenic network. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
-
will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
-
, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand disease
-
algorithms Designing new algorithms and investigating their mathematical performance guarantees Participate in writing up the results and submission for scientific publication Collaborate with and mentor
-
to trace how welfare algorithms operate in practice. They will also contribute to comparative analysis across case study countries, support interdisciplinary collaboration, engage with external stakeholders
-
scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
-
, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data) and experience in multi-omics data integration. Ability to develop algorithms and code for innovative multi-omics data analysis. Baylor College