86 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"U.S"-"Prof" PhD positions in Sweden
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in fluid dynamics, turbulence modeling, CFD, and turbomachinery. Experience with CAD and CFD tools (e.g., Ansys Fluent, CFX, StarCCM+, OpenFOAM). Programming skills (e.g., Python, MATLAB). Knowledge
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multidisciplinary theme. The program prepares next-generation computational biologists with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major
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. To support your dissertation work, you will take courses in the form of third-cycle studies introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will
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the form of third-cycle studies introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will be planned and recorded in your individual study plan
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take courses in the form of third-cycle studies introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will be planned and recorded in your
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the form of third-cycle studies introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will be planned and recorded in your individual study plan
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connection with your admission to the doctoral program, your employment as a PhD student is handled. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping
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. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching
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. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching
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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