24 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Linköping University in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: Department of Mathematics and Work at the Department of Mathematics . Work assignments The purpose of the employment is that the assistant professor is to be given the opportunity to develop independence as a
-
provides a strong foundation in computational biology, scientific programming, quantitative modeling, and data-driven life science—competences that are increasingly central in biotechnology, pharmaceutical
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
application! Work assignments The purpose of the employment is that the assistant professor is to be given the opportunity to develop independence as a researcher and to obtain both the research and teaching
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
-
permit. More information about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by
-
engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine