Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Stanford University
- Carnegie Mellon University
- EPFL
- Chalmers University of Technology
- Oak Ridge National Laboratory
- Texas A&M University
- Bowdoin College
- Cornell University
- Harvard University
- Princeton University
- University of Washington
- NEW YORK UNIVERSITY ABU DHABI
- University of Luxembourg
- Aarhus University
- Eindhoven University of Technology (TU/e)
- University of North Carolina at Chapel Hill
- University of Oxford
- Yale University
- FAPESP - São Paulo Research Foundation
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Umeå University
- CNRS
- Duke University
- King's College London
- Leiden University
- Pennsylvania State University
- SciLifeLab
- Technical University of Munich
- University of Lund
- Aalborg University
- Argonne
- Brookhaven National Laboratory
- Computer Vision Center
- Durham University
- ETH Zürich
- Human Technopole
- KTH Royal Institute of Technology
- Lunds universitet
- Maastricht University (UM)
- Northeastern University
- Queen Mary University of London
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of Florida
- University of Minnesota
- University of Oxford;
- University of Turku
- Utrecht University
- Vrije Universiteit Brussel
- Wageningen University & Research
- ;
- Bournemouth University;
- Campbell University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Central European University
- Copenhagen Business School
- East Carolina University
- Ellison Institute of Technology
- Forschungszentrum Jülich
- HITS gGmbH
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH
- Helmholtz-Zentrum Hereon
- ICN2
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Imperial College London;
- Institut Pasteur
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Lancaster University
- Le Mans Université
- Linköping University
- Loyola University
- Ludwig Princeton Branch, Princeton University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Massachusetts Institute of Technology
- Max Planck Institute for Physics, Garching
- Max-Delbrück-Centrum für Molekulare Medizin
- McGill University
- Mohamed bin Zayed University of Artificial Intelligence
- Nagoya Institute of Technology
- Nencki Institute of Experimental Biology
- New York University
- Norwegian University of Life Sciences (NMBU)
- PONS Fudan
- Purdue University
- Queen Mary University of London;
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saarland University
- Saint Louis University
- Tufts University
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå universitet stipendiemodul
- Universidade de Sao Paulo
- 90 more »
- « less
-
Field
-
framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
-
analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
-
outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
-
successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative
-
statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
-
cuantitativo. Capacidad para trabajar con grandes conjuntos de datos y entornos computacionales. / Experience in data science, data management and optimization, and machine learning and AI techniques. Strong
-
of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
-
. The research tasks will include to develop machine-learning methods using experimental data provided by collaborating experimentalists. A central part of the work will be to identify and define the most relevant
-
, measurement, and evaluation strategy, with a focus on cross-sector data infrastructure, linkage, performance measurement, evaluation, and continuous learning. Responsibilities: 1. Serve as a scientific partner
-
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