Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Stanford University
- University of North Carolina at Chapel Hill
- Cornell University
- Chalmers University of Technology
- Technical University of Munich
- New York University
- Aarhus University
- Duke University
- KTH Royal Institute of Technology
- University of Washington
- Linköping University
- Loyola University
- Lunds universitet
- University of South Carolina
- Boise State University
- ETH Zürich
- Technical University of Denmark
- University of Luxembourg
- University of Oslo
- VIB
- Eindhoven University of Technology (TU/e)
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Luxembourg Institute of Science and Technology
- SUNY Polytechnic Institute
- University of Amsterdam (UvA)
- University of Basel
- University of Copenhagen
- University of Nevada Las Vegas
- Washington University in St. Louis
- AALTO UNIVERSITY
- Aalborg Universitet
- Aalborg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne
- CNRS
- Delft University of Technology (TU Delft)
- Deutsches Elektronen-Synchrotron DESY
- ELLIS Institute Finland
- Forschungszentrum Jülich
- George Washington University
- IMT Atlantique
- KTH
- Leiden University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Pennsylvania State University
- SciLifeLab
- Télécom Paris
- U.S. Department of Energy (DOE)
- UNIVERSITY OF VIENNA
- University College Cork
- University of California San Diego
- University of Colorado
- University of Minnesota
- University of North Carolina Wilmington
- University of Oregon
- University of Southern Denmark
- Vanderbilt University
- Wroclaw University of Science and Technology
- AI4I
- AMOLF
- Aalto University
- Academia Sinica
- BARCELONA SUPERCOMPUTING CENTER
- Biobizkaia Health Research Institute
- Boston University
- Broad Institute of MIT and Harvard
- Brookhaven National Laboratory
- Brown University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- Center for Theoretical Physics PAS
- Central China Normal University
- City University of Hong Kong
- Consejo Superior de Investigaciones Científicas
- Constructor University Bremen gGmbH
- Copenhagen Business School
- EURAC
- Ecole Normale Supérieure de Lyon
- Episteme
- European Space Agency
- FBN Dummerstorf
- Flanders Institute for Biotechnology
- Florida Atlantic University
- Fondazione Bruno Kessler
- Fred Hutchinson Cancer Center
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- GFZ Helmholtz-Zentrum für Geoforschung
- Georgia Institute of Technology
- Harvard University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- IFM, Linköping University
- IFM/Linköping University
- IMEDEA-CSIC-UIB
- IMT - Institut Mines-Télécom
- IMT MINES ALES
- INSERM U1028
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- 90 more »
- « less
-
Field
-
https://www.academictransfer.com/en/jobs/358104/postdoc-quantifying-gender-ineq… Requirements Additional Information Website for additional job details https://www.academictransfer.com/358104/ Work
-
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
-
partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
-
one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases
-
subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
-
. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
-
/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle delivery. The postdoc will join Professor Nathaniel R. Street’s team at UPSC, working closely with
-
Implement Workers of America (UAW) is the exclusive representative of the postdoctoral scholars. https://postdoc.ucsd.edu/postdocs/px-contract.html Qualifications Basic qualifications (required at time of
-
a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
-
machine-learning tools. Data analyzed include precursors such as volatile organic compounds, aerosol number and mass concentrations, chemistry, biological particles, cloud and ice condensation nuclei, light