28 parallel-programming "Uppsala University" PhD positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
. This research cluster is a collaboration of Uppsala University, Chalmers University, KTH Royal Institute of Technology, Linnaeus University, and Umeå University. The cluster is dedicated to exploring how
-
We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
-
implementation. About the project Reactive synthesis refers to the automatic generation of programs from high-level behavioral specifications. This approach plays an increasingly important role in areas such as
-
, for example a 4-year bachelor's degree is accepted. The position requires strong verbal and written communication skills in English. About WASP Wallenberg AI, Autonomous Systems and Software Program (WASP) is
-
competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
-
sustainable future through materials science. All early-stage researchers recruited into the WISE programme will be a part of the WISE Research School , an ambitious nationwide programme of seminars, courses
-
%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
-
aluminium. The candidate will investigate various methods for symbolic regression, aiming to extract symbolic information, like mathematical functions or programs from a network trained for material modelling
-
into the WISE programme will be a part of the WISE Research School Who we are looking for The following requirements are mandatory: To qualify as a PhD student, you must have a Master's degree (masterexamen) of
-
qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo