33 programming-"Multiple"-"U"-"Prof"-"U.S"-"University-of-California" positions at University of Bergen in Norway
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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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condition of employment that the master's degree has been awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree
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). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g. Cantera or CHEMKIN. Background in compressible flows and applied
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advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g
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an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start
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: Plan and conduct discrete choice experiments and qualitative research to assess household acceptance and willingness to pay for monoclonal antibody (Mabs) treatment, ensuring adherence to quality
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must participate in an approved educational programme for a PhD degree within a period of 4 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is
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in programming languages and software commonly used in modeling (e.g., NetLogo, AnyLogic, Mesa, InsightMaker, etc.) is desirable. • Personal and relational qualities will be emphasized. Ambitions
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, and environmental sciences, is desirable. • Proficiency in programming languages and software commonly used in modeling (e.g., NetLogo, AnyLogic, Mesa, InsightMaker, etc.) is desirable. • Personal
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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured