19 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" positions at Chalmers University of Technology
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
details to references will be requested after the interview. We welcome your application no later than February 28, 2026. For further information please contact: Dr Irina Pettersson , Head of Unit, Applied
-
details to references will be requested after the interview. We welcome your application no later than February 28, 2026. For further information please contact: Dr Irina Pettersson , Head of Unit, Applied
-
FieldMathematicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
-
Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University of TechnologyCountrySwedenCityGothenburgPostal
-
Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
-
FieldMathematicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
-
Join the Computing Disease Evolution in Cancer (CODEc) group, led by Dr Eszter Lakatos within the Division of Applied Mathematics and Statistics and persue exciting research. As a Doctoral student
-
FieldComputer scienceYears of Research Experience4 - 10 Research FieldComputer scienceYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com
-
Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
-
of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods