Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
to staff position within a Research Infrastructure? No Offer Description Theoretical physics and mathematical physics aims to understand the physical world from first principles. The prominent methods
-
but is also eager to apply these mathematical/computational techniques to the dynamic and increasingly vital area of renewable energy markets. As a PhD candidate in our group, you will dive deep
-
Canon. What are you going to do? The PhD will do research in network modelling based on graph theory and population balances, mathematical tools describing changes of molecules on a coarse-grained level
-
to staff position within a Research Infrastructure? No Offer Description Postdoc position stochastic analysis in Riemannian manifolds The Korteweg-de Vries Institute for Mathematics is offering a 2
-
results. However, they fall short in quantifying model uncertainty, an essential factor for diagnosing Alzheimer’s disease. Bayesian methods provide mathematically grounded frameworks to address model
-
16 Mar 2024 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Physics Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 5 Apr 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the...
-
? In this research, the candidate will define a general mathematical framework for explainable decision making and introduce models to provide explanations for different classes of optimization problems
-
Your experience and profile: a first masters degree or equivalent in computational science, computer science, chemistry, physics, applied mathematics, materials science or an allied field research
-
experience and profile: Completed or soon-to-be completed MSc in Computer Security, Computer Science, Mathematics, Computer Engineering, Electrical Engineering or related discipline; Strong interest in
-
results. However, they fall short in quantifying model uncertainty, an essential factor for diagnosing Alzheimer’s disease. Bayesian methods provide mathematically grounded frameworks to address model