Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- University of Tübingen
- Leibniz
- Brandenburg University of Technology Cottbus-Senftenberg •
- Universität Tübingen
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- CISPA Helmholtz Center for Information Security
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Elektronen-Synchrotron DESY •
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Sustainable Materials •
- Nature Careers
- RPTU University of Kaiserslautern-Landau •
- Technische Universität Berlin •
- Uni Tuebingen
- University Hospital of Schleswig Holstein
- 14 more »
- « less
-
Field
-
degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
-
Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
-
Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
(computer-based), or 79 points (Internet-based) Cambridge Advanced English test (minimum grade B) Cambridge Certificate of Proficiency (minimum grade C) IELTS Academic (minimum 6.5) Application deadline
-
the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
-
implementation on IBM’s ibm_cleveland quantum computer by reproducing recently published benchmark QM/MM simulations [2] Apply the developed code to simulate proton transport in vesicular glutamate transporters
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
-
science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
-
requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport
-
, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners