Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Monash University
- Chalmers University of Technology
- Forschungszentrum Jülich
- Aalborg University
- Aalto University
- Linköping University
- University of Copenhagen
- University of Oslo
- AALTO UNIVERSITY
- ETH Zurich
- Harvard University
- Lulea University of Technology
- SciLifeLab
- University of Lund
- European Space Agency
- Susquehanna International Group
- University of Nottingham
- University of Sheffield
- University of Twente
- Blekinge Institute of Technology
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Fraunhofer-Gesellschaft
- Ghent University
- Heidelberg University
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Hereon
- King Abdullah University of Science and Technology
- King's College London
- La Trobe University
- Leibniz-Institut für Astrophysik Potsdam (AIP)
- Max Planck Institute for Astronomy, Heidelberg
- National University of Singapore
- Princeton University
- Roskilde University
- The University of Chicago
- UiT The Arctic University of Norway
- Umeå University
- University of Birmingham
- University of Glasgow
- University of Lincoln
- University of Southern Denmark (SDU)
- University of Texas at Austin
- Uppsala University
- Vrije Universiteit Amsterdam
- Vrije Universiteit Brussel
- jobs.ac.uk
- 38 more »
- « less
-
Field
-
mathematical modeling or have otherwise acquired essentially equivalent knowledge. You must be proficient in both oral and written communication in English and have good teamwork skills. Documented
-
science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest in the interplay between wireless systems
-
analysis You have a strong background in applied mathematics, and you’re interested in combining mathematical theory with practical algorithm development and real-life tests. Furthermore, you have
-
policy questions? This position involves a unique opportunity to work at the intersection of policy relevant questions and mathematical modeling methods to answer some of the following questions: How
-
AI and machine learning to ecological questions. Experience with scientific programming, quantitative analysis, or computational modelling, preferably using R, Python, C++, or comparable tools
-
learning researchers, traders, and software engineers learn together. You’ll build a shared foundation in quantitative trading, programming, data analysis, mathematical modeling, and modern machine
-
existing C++ framework, validate and benchmark them with a realistic case study. The main focus of the project can develop either more in the mathematical theory of MCMC, the implementation of code for the
-
OMICs-data handling and statistical analysis Documented programming skills and excellent R user. Previous experience from scientific data generation, analysis and publishing Hands on skills in
-
mathematical optimization and quantitative modelling. Experience with optimization under uncertainty or data-driven decision-support methods is highly desirable. Programming experience in optimization
-
position is in Oslo. Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly