Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Denmark
- DAAD
- Fraunhofer-Gesellschaft
- Ghent University
- Monash University
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- Curtin University
- University of Southern Denmark
- ; The University of Manchester
- Aalborg University
- Chalmers University of Technology
- Umeå University
- University of Nottingham
- University of Twente
- Vrije Universiteit Brussel
- RMIT University
- SciLifeLab
- University of Adelaide
- University of Cambridge
- University of Copenhagen
- University of Southern Queensland
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Leeds
- ; University of Warwick
- Erasmus University Rotterdam
- Imperial College London
- Linköping University
- Radboud University
- Susquehanna International Group
- Trinity College Dublin
- Wageningen University and Research Center
- ; Aston University
- ; Brunel University London
- ; Manchester Metropolitan University
- ; Newcastle University
- ; Swansea University
- ; University of Bristol
- ; University of East Anglia
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of York
- Aarhus University
- Blekinge Institute of Technology
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zurich
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Leibniz
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- McGill University
- Newcastle University
- Prof. Ruilin Pei and Shenyang University of Technology
- Purdue University
- Queensland University of Technology
- The University of Alabama
- University of Antwerp
- University of Bern
- University of Bremen •
- University of Minnesota
- University of Nebraska–Lincoln
- University of Oslo
- University of Texas at Austin
- Uppsala University
- 67 more »
- « less
-
Field
-
the autumn of 2025 or as agreed. Project description This doctoral position has a special focus on sustainable data cultures, algorithmic decision-making and AI solutions within municipal companies
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
programming Creating their own mechanical designs, implement and test them accordingly, Implementation of control algorithms on physical experiments. In addition, the candidates are expected to contribute with
-
embedded within the department Law & Markets, home of a vibrant and diverse academic community. The overarching mission of the department Law & Markets is to develop and deliver cutting-edge, high-quality
-
philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection
-
. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop machine learning surrogates of wind energy systems. As newer
-
and developmental biology, mechanobiology, stem cells and differentiation, network reconstruction and systems biology, proteomics, genomics, metabolomics, sequencing and algorithms, computational
-
skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
-
and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
-
Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels