Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- CNRS
- University of Oslo
- University of Oxford
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Universidad Politecnica de Cartagena
- AALTO UNIVERSITY
- Aarhus University
- Blekinge Institute of Technology
- ETH Zürich
- Empa
- Stanford University
- University College Cork
- University of Copenhagen
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- Aalborg Universitet
- Aalborg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Brookhaven National Laboratory
- Center for Theoretical Physics, Polish Academy of Sciences
- Chalmers University of Technology
- Columbia University
- Delft University of Technology (TU Delft)
- Ecoles Pratique des Hautes Etudes - PSL
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Friedrich Miescher Institute for Biomedical Research
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Institut de Físiques d'Altes Energies (IFAE)
- Leibniz
- Northeastern University
- Queen Mary University of London;
- Rutgers University
- Sandia National Laboratories
- Singapore-MIT Alliance for Research and Technology
- Technical University of Denmark
- Texas A&M University
- Umeå University
- Umeå universitet
- Umeå universitet stipendiemodul
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Basel
- University of Central Florida
- University of Graz
- University of Liverpool
- University of Luxembourg
- University of Minnesota
- University of Oxford;
- University of Utah
- University of Washington
- Université catholique de Louvain
- Université côte d'azur
- Uppsala universitet
- Washington University in St. Louis
- 48 more »
- « less
-
Field
-
candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
-
interest in research focused on the valorization of such by-products. In parallel, consumer demand for clean-label and functional foods, together with increasing restrictions on synthetic additives, has
-
to significant losses during processing, transport, retail and storage stages. In parallel, advances in sensor, information and communication technologies, together with increased computational capabilities, have
-
validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
-
/or peer-reviewed journals Required Knowledge, Skills, and Abilities: PhD in Computational Physics, Chemistry, Materials Science, Computer Science/Engineering, Applied Mathematics, or a related field
-
external partners Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics, chemistry, or physical chemistry Demonstrated expertise in theoretical quantum
-
for effective system-level integration. In parallel, SOEC cells are inherently sensitive to impurities originating from feed gases, system components, or cell materials, which can interact with electrodes and
-
, and measure success. Basic Qualifications: A PhD in materials science and engineering, mechanical engineering, aerospace engineering, polymer science, or a related discipline completed within the last
-
engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
-
expanding its focus to space-based missions. We are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we