Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Cornell University
- Stanford University
- University of Washington
- Delft University of Technology (TU Delft)
- Northeastern University
- Aarhus University
- CNRS
- European Space Agency
- Rutgers University
- Chalmers University of Technology
- Oak Ridge National Laboratory
- Princeton University
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- University College Cork
- University of Arkansas
- University of Groningen
- University of Idaho
- University of South Carolina
- University of Texas at Arlington
- Arizona State University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- KTH Royal Institute of Technology
- Maastricht University (UM)
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Queen Mary University of London
- THE UNIVERSITY OF HONG KONG
- The Ohio State University
- University of North Carolina at Chapel Hill
- University of Utah
- Washington University in St. Louis
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Yale University
- Aalborg University
- Aarhus University (AU)
- Argonne
- Austrian Academy of Sciences, The Space Research Institute (IWF)
- Brookhaven National Laboratory
- Carnegie Mellon University
- Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering
- Durham University
- EPFL
- FCiências.ID
- Forschungszentrum Jülich
- Fundació per a la Universitat Oberta de Catalunya
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Photonic Sciences
- Institutionen för biologi och miljövetenskap
- Instituto Superior Técnico
- Istituto Italiano di Tecnologia
- Johann Radon Institute for Comp. and Applied Mathematics
- KU Leuven
- Leiden University
- Linköping University
- Ludwig Princeton Branch, Princeton University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Delbrück Center for Molecular Medicine
- Max-Delbrück-Centrum für Molekulare Medizin
- Mossakowski Medical Research Institute, Polish Academy of Sciences
- NIOZ Royal Netherlands Institute for Sea Research
- New York University
- Nicolaus Copernicus Astronomical Center
- RIKEN
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- St Jude Children's Research Hospital
- The University of Arizona
- The University of Iowa
- Umeå University
- Universitat de Barcelona
- Universite de Montpellier
- University College Dublin
- University of Aveiro
- University of Borås
- University of California
- University of California Irvine
- University of California, Los Angeles
- University of Colorado
- University of Copenhagen
- University of Galway
- University of Glasgow
- University of Hawaii
- University of Lund
- University of Luxembourg
- University of Minnesota
- University of Namur
- University of Nevada Las Vegas
- University of Oxford
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Potsdam
- University of Texas at Dallas
- University of Turku
- 90 more »
- « less
-
Field
-
Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
-
for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
-
process intensification, sustainability, and advanced process control, aiming to develop AI-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex
-
molecular discovery. The position is ideal for a candidate who wants to turn deep mechanistic understanding into predictive models and closed-loop discovery workflows. Our lab develops and applies machine
-
Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically
-
lead and support multimodal data collection, data integration, predictive modeling, and digital intervention development. The position involves close collaboration with faculty, clinical partners
-
. The second project is “Forecasting Fertility with Foundational Models”. More specific tasks include: Conducting independent high-quality research on the limits of predicting fertility in relation to the PreFer
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 24 hours ago
simulation tools for predicting module coalignment performance. The participant may also engage in commissioning activities for X-ray detectors and participate in operating a hard X-ray reflectometer
-
-derived cells and single-cell perturb sequencing to establish foundational models to predict the effects of potential drug candidates on cardiovascular diseases. By combining genome engineering, functional
-
these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024