125 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Chalmers University of Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
6 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Molecular chemistry Chemistry » Physical chemistry Chemistry » Other Engineering
-
of the Systems and Control division focusing on data-driven control methodologies. About the research project In many scenarios (arising, e.g., in biomedical systems), performing system identification is
-
Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
-
to exciting research in data-driven control in a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas of Communications
-
more information about the group at: www.shegai-lab.com or https://scholar.google.com/citations?hl=en&user=btt8op4AAAAJ&view_op=list_works&sortby=pubdate Contract terms The Doctoral student positions
-
large animals with similarly built brain vessel network as humans are necessary to obtain a relevant information. This is a pilot trial in which the sheep will be anesthetized and continuously monitored
-
Systems and Control division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical
-
Join us at the National Centre of Excellence CHARMEC for an exciting and excellent Doctoral student journey to outline future use of sensor data on railways! About us Your workplace will be
-
FieldMathematicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
-
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification