Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- ;
- Nature Careers
- Radix Trading LLC
- University of Tübingen
- ; The University of Manchester
- ; University of Exeter
- Chalmers University of Technology
- DAAD
- Delft University of Technology (TU Delft); Delft
- Graduate School of Arts, Aarhus University
- Leibniz
- Leiden University
- Roma Tre University
- SINTEF
- Technical University Of Denmark
- The University of Manchester
- University of Lleida
- University of Nottingham
- University of Nottingham;
- University of Oslo
- Université Paris-Saclay GS Mathématiques
- Utrecht University
- VIB
- WIAS Berlin
- 15 more »
- « less
-
Field
-
the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
-
applications as PhD Student Position (f/m/d) (Ref. 25/11) in the Leibniz Junior Research Group “Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible
-
project, you will explore the use of formal methods from computer science (program synthesis and probabilistic programming) and control systems analysis approaches to derive human understandable strategies
-
), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
-
Researcher in Language Evolution / Probabilistic or Evolutionary Modeling / Primate Communication (m/f/d, E13 TV-L, 75%) The position will be filled for a fixed term until June 2029. Payment is at 75
-
second PhD student focused on the development of bespoke probabilistic models. Thus, an affinity towards statistical modeling is important. In-depth skills in probabilistic modeling and hands-on experience
-
The PhD project will involve both (a) developing foundational probabilistic machine learning methodology, and (b) applied collaboration with experimentalists in chemistry and biology. The candidate may have
-
, and probabilistic methods are encouraged to apply. The studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 3.5 years full-time. The student will be based
-
Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous. Experience in coding (e.g., Python) and in the use of Structural
-
problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous