Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
. The areas of expertise of possible mentors in the group are mainly Probability Theory, Partial Differential Equations, and Applied Mathematics. However, exceptional candidates with different research
-
-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent
-
– Focus on High Energy Theory Fellowship Type: Postdoctoral Location: New York, New York 10003, United States of America [map ] Subject Area: High-Energy Theory / Theoretical High-Energy Appl Deadline
-
management, collection & visualization Social network analysis & graph theory Online tool/web development Running controlled experiments Game-theoretic modelling Excellent communication skills in English
-
, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
-
, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues
-
of written and spoken English The ideal candidate will also have expertise in one or more of the following: excited-state electronic structure methods, analytical gradient theory, non-adiabatic dynamics
-
Bachelors with several years of experience in Computer Science, Psychology, Neuroscience, mathematics, physics, Biology, Biomedical Engineering or a relevant STEM field. All applicants must submit a cover
-
interdisciplinary areas including but not limited to Computer Science, Mathematics, Linguistics, Politics, and Psychology. We welcome researchers across a wide range of domains who will contribute to the creative
-
astrophysical free boundaries. Responsibilities include running high-resolution GPU-accelerated simulations on exascale computing systems, developing and applying geometric measure theory tools to quantify