Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Cranfield University
- Delft University of Technology (TU Delft)
- Tallinn University of Technology
- University of Bergen
- University of Newcastle
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- ETH Zürich
- CNRS
- Chalmers University of Technology
- Technical University of Munich
- AALTO UNIVERSITY
- Carnegie Mellon University
- Curtin University
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- KINGS COLLEGE LONDON
- Nord University
- Technical University Of Denmark
- University of Groningen
- Uppsala universitet
- Aalborg Universitet
- Aalborg University
- Ariel University
- Aristotle University of Thessaloniki
- CMU Portugal Program - FCT
- Chalmers Tekniska Högskola
- Chalmers tekniska högskola
- DAAD
- DTU Electro
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published 31 Oct ’25
- Delft University of Technology (TU Delft); Published today
- Dublin City University
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Harvard University
- Heriot Watt University
- IMDEA Networks Institute
- Imperial College London
- Institut Pasteur
- Instituto Superior de Agronomia
- Jagiellonian University
- Johns Hopkins University
- Justus Liebig University Giessen •
- Leibniz
- Linköpings universitet
- Lulea University of Technology
- Luleå tekniska universitet
- Manchester Metropolitan University;
- Max Planck Institute of Biochemistry •
- Monash University
- NILU
- NORCE
- NTNU - Norwegian University of Science and Technology
- National Research Council Canada
- Naturalis; Published today
- Naturalis; Published yesterday
- Nature Careers
- RAEGE-Az
- Sveriges lantbruksuniversitet
- Tel Aviv University
- Umeå University
- University of Adelaide
- University of Birmingham;
- University of Denver
- University of Groningen; Groningen
- University of Minnesota
- University of Oslo
- University of Oxford;
- University of Twente
- Utrecht University
- Wayne State University
- 66 more »
- « less
-
Field
-
. Applicants should have a background (MSc and BSc degrees) in Computer Science or Sofware Engineering and a demonstrated ability to work independently as well as in a team. Significant software development
-
This PhD project will develop socially just, context-sensitive adaptation strategies against heat stress in informal settlements, particularly in conflict-sensitive settings. Job description The
-
together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-position-on-in-situ-charac… Requirements Research
-
team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
-
the supervisory team: Quentin Jouet (Montagne bleue, lead developer of FloeDyn) and Dr Jérôme Weiss (CNRS, ISTERRE, Grenoble). The dynamics of sea ice is governed by a set of mechanical processes and complex
-
mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
-
teaching and research that address the global challenges of sustainability, health, and digital transformation. It offers a dynamic portfolio of undergraduate, postgraduate, and doctoral programmes tailored
-
new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
-
these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine
-
. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department