Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Eindhoven University of Technology (TU/e)
- DAAD
- Wageningen University & Research
- CISPA Helmholtz Center for Information Security
- CNRS
- Center for Theoretical Physics PAS
- Delft University of Technology (TU Delft)
- ETH Zürich
- Forschungszentrum Jülich
- Heidelberg University
- Hong Kong University of Science and Technology
- Instituto Superior Técnico
- KU LEUVEN
- Leibniz
- Linkopings universitet
- Linköping University
- Linköpings universitet
- Technical University of Munich
- Technische Universität Berlin •
- The University of Manchester;
- UNIVERSITY OF HELSINKI
- UNSW Sydney
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Basel
- University of Bonn •
- University of Bristol;
- University of Copenhagen
- University of Nottingham
- Université catholique de Louvain (UCL)
- WU Vienna University of Economics and Business
- 21 more »
- « less
-
Field
-
of stochastic processes and/or optimization. Candidates should have experience with programming of scientific software. Excellent proficiency in English is required, as well as good communication skills, both
-
understanding. You will be supervised by Svenja Fischer, Ryan Teuling and Claudia Brauer. Where to apply Website https://www.academictransfer.com/en/jobs/357376/phd-candidate-ml-based-predicti… Requirements
-
— an interdisciplinary field spanning information theory, stochastic thermodynamics, and quantum physics — and will explore several research directions: Thermodynamic computing: Developing physics-inspired models
-
activity and stochasticity). For example, localized dendritic activation underlies numerous computational functions across hierarchical levels, such as denoising (filtering), increased expressivity (tunable
-
Description The Berlin Mathematical School is the graduate school of the Cluster of Excellence MATH+ ( http://www.mathplus.de ) and a joint endeavor of the mathematics departments
-
academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
-
for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
-
part of the Virgo Collaboration at the European Gravitational Observatory (EGO) and has been active so far in searches for ultra-light dark matter, anisotropic stochastic GW background, gravitational
-
collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
-
econometrics, high-dimensional statistics, machine learning, nonparametric statistics, portfolio theory and stochastic processes. Our PhD program comprises a 2-year MPhil Phase with courses aimed at building a