Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Computational Mathematics covers many different areas in numerical analysis, symbolic computations
-
fundamental understanding and advanced modelling & testing capabilities with application in engineering practice. Our work on experimental testing and numerical modelling at laboratory and field scale is
-
. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
-
environments with minimal environmental impact. We are recognized nationally and internationally for our excellence in numerical and computational modelling, experimental innovations, our collaborations with
-
science. Applicants with one or more of the following skills/qualities will be considered with priority: experience and/or thorough understanding of theoretical/numerical methods for simulating optical
-
of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
-
thorough understanding of theoretical/numerical methods for simulating optical phenomena, experience in fabrication and/or characterization of micro- or nanostructures, hands-on experience with fiber-optic
-
, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA
-
description We are seeking a PhD student to join our research team specializing in the analysis and modeling of multiphase flows. The research focuses on developing a fundamental understanding and numerical
-
. Experience in implementing numerical methods and algorithms, e.g. in Python, Matlab or similar, is required. A strong motivation to develop mathematical tools for biological and medical applications is