Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- New York University
- Stanford University
- University of North Carolina at Chapel Hill
- Cornell University
- Chalmers University of Technology
- ETH Zürich
- Oak Ridge National Laboratory
- THE UNIVERSITY OF HONG KONG
- University of Washington
- Brookhaven National Laboratory
- CNRS
- Istituto Italiano di Tecnologia
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- University of Amsterdam (UvA)
- University of Copenhagen
- Aarhus University
- Argonne
- Arizona State University
- Brown University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- GFZ Helmholtz-Zentrum für Geoforschung
- Leiden University
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Michigan State University
- National Renewable Energy Laboratory NREL
- Texas A&M University
- Télécom Paris
- University of Basel
- University of Colorado
- University of Luxembourg
- University of Nevada, Reno
- University of Oxford
- University of South Carolina
- AI4I
- Aalborg University
- Academia Sinica
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne National Laboratory
- BARCELONA SUPERCOMPUTING CENTER
- Boston University
- Cardiff University
- Center for Theoretical Physics PAS
- Constructor University Bremen gGmbH
- Duke University
- East Carolina University
- Harvard University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Hong Kong Polytechnic University
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Theoretical Physics
- KINGS COLLEGE LONDON
- Karolinska Institutet (KI)
- LNEC, I.P.
- Linköpings universitet
- Lunds universitet
- Luxembourg Institute of Health
- Massachusetts Institute of Technology (MIT)
- Mälardalen University
- Nagoya University
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Technical University of Denmark
- Technical University of Munich
- Texas Christian University
- The University of Iowa
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- Umeå University
- Umeå universitet
- Universidad Nebrija
- Universidad Politecnica de Cartagena
- Universidad Pontificia Comillas
- University of California
- University of Cambridge;
- University of Canterbury
- University of Connecticut
- University of Houston
- University of Lincoln
- University of Lund
- University of Minnesota
- University of Nevada Las Vegas
- University of Oslo
- University of Oxford;
- University of Southern Denmark
- University of Texas at Arlington
- University of Texas at Dallas
- University of Tübingen
- Université catholique de Louvain
- Université côte d'azur
- Uppsala universitet
- Vanderbilt University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 90 more »
- « less
-
Field
-
data management and machine learning is also preferred. An interest in energy system topics such as the green transition, sustainable energy systems, digital energetics etc. is preferred. Experience
-
Additional Information Eligibility criteria Training and experience: A PhD in Materials Science, Computational Chemistry, Physics, or a related field, with a strong background in DFT modeling and experience in
-
English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
-
. 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
-
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
-
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
-
with such models. Experience with machine learning methods applied to biological data. Familiarity with large language model APIs and frameworks (e.g., Claude/Anthropic API, OpenAI API, LangChain
-
with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
-
as a one‐year appointment, but renewable annually based on performance. The position involves postdoctoral work in developing efficient methods and tools for analyzing large-scale biomedical data with
-
that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks