Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Carnegie Mellon University
- The University of Chicago
- Susquehanna International Group
- University of Cambridge
- Nature Careers
- University of Newcastle
- Cornell University
- DAAD
- Imperial College London
- Radix Trading LLC
- Technical University of Munich
- Arizona State University
- Binghamton University
- Brookhaven Lab
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Leibniz
- Liverpool John Moores University
- Luxembourg Institute of Socio-Economic Research (LISER)
- MedUni Vienna
- National Institute for Bioprocessing Research and Training (NIBRT)
- OsloMet
- Technical University of Denmark
- The Ohio State University
- The University of Iowa
- Trinity College Dublin
- University of Birmingham
- University of Glasgow
- University of Liverpool
- University of Luxembourg
- University of Minnesota
- University of Oxford
- University of Sheffield
- University of Utah
- Vrije Universiteit Brussel
- Wageningen University & Research
- 27 more »
- « less
-
Field
-
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
-
Dresden, TU Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals
-
. The successful PhD candidate will collaborate closely as part of an interdisciplinary team consisting of formulation scientists, microbiologists and computer scientists. As a PhD candidate at OsloMet, you will
-
Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a focus on
-
One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
-
development experience in the following areas: Machine Learning/AI, Internet of Things technologies. For further information, please contact Prof Gyu Myoung Lee G.M.Lee@ljmu.ac.uk . In return, we offer
-
, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
-
techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
-
interdisciplinary and experiential learning to join the Source Project, Binghamton University's distinctive first-year research program in the Humanities and Social Sciences. The position begins August, 2025. PhD in
-
quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the