Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- Technical University of Munich
- University of Groningen
- Susquehanna International Group
- University of Newcastle
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Exeter
- ; University of Leeds
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- Aalborg University
- CNRS
- Chalmers University of Technology
- Cranfield University
- DAAD
- Dresden University of Technology •
- Empa
- Forschungszentrum Jülich
- Hannover Medical School •
- Julius-Maximilians-Universität Würzburg •
- Leibniz
- Leiden University
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Mathematics •
- Max Planck Institute of Biochemistry •
- SciLifeLab
- The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences
- Umeå University
- University of Eastern Finland
- University of Glasgow
- University of Luxembourg
- University of Oslo
- University of Texas at Austin
- University of Twente
- Università degli Studi di Sassari
- Université Laval
- Utrecht University
- WIAS Berlin
- Wageningen University and Research Center
- 31 more »
- « less
-
Field
-
conditions. Profile: Required degree: Master's (M2) in Ecology and Evolution - Specialization: Modeling in ecology and evolution, theoretical ecology Expected skills: - Statistical analysis - Mathematical and
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
-
potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
-
analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
-
optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
-
interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
-
providers, recursively forming complex supply chains that are difficult to analyze. As a result, operators may unknowingly introduce technical, operational, and regulatory risks – especially in critical
-
exploiting the structure of inputs and doing a multivariate complexity analysis. The goal of this project is to develop more efficient parameterized approximation algorithms and preprocessing algorithms (also
-
quantitative skills and strong analytical capabilities; proven experience with experimental image and data analysis; proven experience with mathematical/computational modeling of experimental observations