Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
-
programming (e.g., Python) Documented proficiency in deep learning frameworks (e.g., PyTorch) Documented background in machine learning, mathematics, linear algebra, and statistics Fluent oral and written
-
University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
. Topics include linear and matrix algebra (with special emphasis on demand/supply and cost/revenue analysis) and differential calculus. Students are encouraged to bring in examples of mathematical
-
linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
-
the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming is required Experience
-
Solid programming skills in Python Command of the mathematical foundations of machine learning (linear algebra, calculus) English at level B2 or higher (the working language is English) Desired
-
we favor candidates with previous experience in X-ray imaging preferably for biomedical applications. You should Have a solid grasp of microscopy, electromagnetism/optics and linear algebra Be skilled
-
qualifications Preferred candidates will have experience with programming tools (UNIX, bash, MATLAB/Python programming), a strong college math background (linear algebra) and/or statistics, and previous research
-
23 Dec 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Mathematics » Algebra Mathematics » Applied mathematics Mathematics » Computational mathematics
-
, representation theory, number theory, algebraic and geometric topology, non-linear partial differential equations, harmonic analysis, geometric analysis, mathematical data science, computational mathematics