Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- NTNU Norwegian University of Science and Technology
- Inria, the French national research institute for the digital sciences
- jobs.ac.uk
- Durham University
- Grenoble INP - Institute of Engineering
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Lulea University of Technology
- Tilburg University
- BI Norwegian Business School
- Delft University of Technology
- European Molecular Biology Laboratory (EMBL)
- Fulda University of Applied Sciences •
- Graz University of Technology
- Harvard University
- Institute for Basic Science
- KU LEUVEN
- Korea University
- Manchester Metropolitan University;
- Max Planck Institute for Solid State Research, Stuttgart
- Max Planck Institutes
- Max-Born-Institute
- Monash University
- Nantes Université
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- Swedish University of Agricultural Sciences
- The Swedish University of Agricultural Sciences
- The University of Manchester
- Umeå University
- University Muenster
- University of Basel
- University of Birmingham
- University of Exeter
- University of Latvia
- University of Nottingham
- University of Oxford
- University of Warwick
- Università degli Studi Guglielmo Marconi
- Universität Basel
- 33 more »
- « less
-
Field
-
, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
-
spectral analysis, entropy-based metrics, graph representations of cardiac conduction, and supervised, unsupervised, and deep learning approaches for classification of abnormal electrical activity within
-
. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
for representing knowledge graphs and OWL for formalising ontologies. In order to manage the heterogeneity of knowledge, alignments between ontologies make it possible to express the relationships between concepts
-
for analyzing how landscapes evolve over time. This thesis is part of the ANR GEvoK (Geographic Entities Evolution in Knowledge Graphs) project, which aims at automatically detecting and semantically
-
Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
-
on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
-
frameworks and economic frameworks identified by partners in the overall project. The programmatic alignment theory, long-term strategic management, and elements of Nature-based Thinking (the organisational
-
compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
-
Ph.D. Programme with specialization in Economics, which trains students to engage in high quality scientific research, making use of economic theory and state of the art econometric methods