49 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" Fellowship positions at University of Bergen in Norway
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to the research project itself. The remaining six months will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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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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previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a
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programme: LEAD AI is the University of Bergen's career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence. The program has received funding from the European
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. The position is for a fixed term of 3 years and is associated with the LEAD AI project co-funded by European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant
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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
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01.07.2025. It is a condition of employment that the master has been awarded before employment. Documented knowledge on renewable energy is required. Experience and proven knowledge in scientific programming
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UNIX/Linux interface and basic programming (e.g. Python) is a requirement. Experience with machine learning is an advantage. Experience from free energy calculations is an advantage. Applicants must be
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-based drug design. The position is for a fixed term of three years and is associated with the LEAD AI project co-funded by European Union’s Horizon Europe research and innovation programme under the Marie