Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Denmark
- Germany
- Sweden
- Belgium
- France
- Netherlands
- Luxembourg
- Morocco
- Norway
- Spain
- Hong Kong
- Italy
- Switzerland
- United Arab Emirates
- Australia
- Brazil
- Japan
- Worldwide
- Austria
- Benin
- China
- Finland
- India
- Israel
- Mexico
- New Zealand
- Poland
- Portugal
- Singapore
- Taiwan
- 22 more »
- « less
-
Employer
- Nature Careers
- Carnegie Mellon University
- Oak Ridge National Laboratory
- University of Oxford
- Texas A&M University
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- Cornell University
- Stanford University
- Technical University of Denmark
- University of Luxembourg
- University of North Carolina at Chapel Hill
- University of Washington
- Aarhus University
- Brookhaven National Laboratory
- CNRS
- Duke University
- NEW YORK UNIVERSITY ABU DHABI
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- University of Oslo
- University of Oxford;
- Aalborg University
- ETH Zürich
- Istituto Italiano di Tecnologia
- National Renewable Energy Laboratory NREL
- Princeton University
- Umeå University
- University of Amsterdam (UvA)
- University of Copenhagen
- University of Kentucky
- Arizona State University
- Brown University
- Chalmers University of Technology
- Durham University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Harvard University
- Leiden University
- Linköping University
- Michigan State University
- Queen Mary University of London;
- Stony Brook University
- Télécom Paris
- University of Basel
- University of Colorado
- University of Florida
- University of Lund
- University of Nevada, Reno
- University of South Carolina
- University of Tübingen
- AALTO UNIVERSITY
- AI4I
- Academia Sinica
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne National Laboratory
- BARCELONA SUPERCOMPUTING CENTER
- Bar Ilan University
- Boston University
- Cardiff University
- Center for Theoretical Physics PAS
- Constructor University Bremen gGmbH
- East Carolina University
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Hong Kong Polytechnic University
- ICN2
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Imperial College London
- Institut Pasteur
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Theoretical Physics
- Karolinska Institutet (KI)
- King's College London
- LNEC, I.P.
- Leibniz
- Linköpings universitet
- Lunds universitet
- Luxembourg Institute of Health
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Extraterrestrial Physics, Garching
- Mälardalen University
- Nagoya Institute of Technology
- Nagoya University
- Northeastern University
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Rutgers University
- Saint Louis University
- Singapore-MIT Alliance for Research and Technology
- Texas Christian University
- The University of Edinburgh;
- The University of Iowa
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- Umeå universitet
- Universidad Nebrija
- 90 more »
- « less
-
Field
-
systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
-
using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
-
/Resume. Required Education and Experience PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Strong publication record in top-tier AI
-
energy consumption in information processing and machine learning (e.g., arXiv:2308.15905); Quantum phenomena in information processing: exploring how quantum effects can be utilized to process information
-
. The postdoctoral fellow will join a research group with potential access to large, administrative data sets therefore prior experience with big data and administrative data will be advantageous. via Unsplash
-
experience with distributed control, cyber-physical systems, smart transformers, machine learning, power systems or systems engineering. You have solid skills in modelling and simulation using software tools
-
that integrate multi-omics data to uncover mechanisms of disease, cellular resilience, and therapeutic response. The post holder will lead research applying large-scale machine learning and foundation models
-
learning PREFERRED QUALIFICATIONS: Experience using computational methods to analyze large-scale high-dimensional biomedical data relating to clinical information, genetics, genomics, radiomics, and/or
-
modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
-
applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA