73 parallel-computing-numerical-methods-"Multiple" Fellowship positions at University of Oslo
Sort by
Refine Your Search
-
et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
-
Research Fellow in AI Methods for Creative Applications Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at Department of Informatics, University
-
computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and autoimmune immunodiagnostics and
-
program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på
-
immunological problem. Improving computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and
-
Fellow in Human-Robot Interaction Apply for this job See advertisement About the position Position as PhD Research Fellow in Human-Robot Interaction is available at the Department of Informatics, Robotics
-
doctoral thesis and public defence are eligible for appointment Strong background in scientific programming Experience with numerical methods that can address chemical composition in dynamical models
-
assessing exoplanet properties Knowledge about ESA’s PLATO mission goals Knowledge about planet formation and disk models Experience with numerical methods for addressing planet formation through N-body
-
: The desired candidate demonstrates strong theoretical and methodological capacities as well as documented expertise in computational methods. Documented experience with R or Python programming is also very
-
://www.odont.uio.no/iko/english/people/aca/haavarjh/index.html Project description The PhD candidate will develop bacterial biofilm models with single or multiple bacterial species under aerobic and anaerobic