Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Carnegie Mellon University
- Argonne
- Aarhus University
- Stanford University
- Texas A&M University
- University of North Carolina at Chapel Hill
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- Princeton University
- University of Luxembourg
- University of Oxford
- University of Washington
- Cornell University
- KINGS COLLEGE LONDON
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Duke University
- ETH Zürich
- New York University
- Technical University of Munich
- University of Basel
- University of Oxford;
- Brookhaven National Laboratory
- CNRS
- Chalmers University of Technology
- Czech Technical University in Prague
- Lunds universitet
- National Renewable Energy Laboratory NREL
- Umeå University
- University of Amsterdam (UvA)
- University of Oslo
- University of Sydney
- ;
- AI4I
- Aalborg University
- Durham University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Harvard University
- Massachusetts Institute of Technology
- Michigan State University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- University of Connecticut
- University of Florida
- University of Lund
- University of Nevada, Reno
- University of Oregon
- Uppsala universitet
- Virginia Tech
- AALTO UNIVERSITY
- Academia Sinica
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne National Laboratory
- Bar Ilan University
- Boston University
- Cardiff University
- Constructor University Bremen gGmbH
- ERATOSTHENES CENTRE OF EXCELLENCE
- European Space Agency
- Forschungszentrum Jülich
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Gulbenkian Institute for Molecular Medicine
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Hong Kong Polytechnic University
- ICN2
- INSA Strasbourg
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Imperial College London
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Theoretical Physics
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Karolinska Institutet (KI)
- LNEC, I.P.
- Lawrence Berkeley National Laboratory
- Leiden University
- Loyola University
- Lulea University of Technology
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Radio Astronomy, Bonn
- NTNU - Norwegian University of Science and Technology
- Nagoya Institute of Technology
- Nagoya University
- National Aeronautics and Space Administration (NASA)
- National Centre for Nuclear Research
- Northeastern University
- Pennsylvania State University
- SLU
- Saint Louis University
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- Texas A&M AgriLife
- Texas Christian University
- The Cyprus Institute
- The Peace Research Institute Oslo (PRIO)
- 90 more »
- « less
-
Field
-
microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
-
at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
-
19 Jan 2026 Job Information Organisation/Company ERATOSTHENES CENTRE OF EXCELLENCE Department Big Earth Data Analytics Research Field Computer science Engineering » Computer engineering Researcher
-
. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
-
within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
-
recording. The work will also include developing new statistical data analysis tools for behavioral and neural data. More broadly, the postdoc will be part of a large and intellectually vibrant community
-
geoscientific applications. Current research includes large-scale crop mapping, wetland monitoring, and the integration of machine learning with remote sensing and geophysical data for groundwater mapping. Your
-
teaching and student supervision activities in areas related to your expertise. What we ask of you Your experience and profile A PhD degree in AI (e.g., machine learning, natural language processing
-
Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment
-
++, or JavaScript Experience with AI or machine learning techniques, including large language models or agentic systems Experience developing or integrating interactive visualization systems, including web-based