30 parallel-computing-numerical-methods-"DTU" Fellowship positions at University of Bergen in Norway
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groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis, critical algorithm studies, ethnography and
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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
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, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis
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publication of research or research communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities
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in the MA thesis, and particularly research in computational narrative systems. Past publication of research or research communication. Use of computer programming as a method of research and inquiry
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. The position is for a fixed term of 3 years and is associated with the Computational Biology Unit (CBU, https://cbu.w.uib.no/ ), financed by University of Bergen. The position is open to an incoming candidate
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participate in the Faculty of Humanities’ ph.d program program . The PhD programme comprises a training component corresponding to 30 ECTS. Qualifications and personal qualities The applicant must hold a
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before 01.08.2025. It is a condition of employment that the master's degree has been awarded. Experience working with intermediate to advanced remote sensing data and methods is a requirement regardless of
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of an ongoing research project. The exploration will be at the molecular level with extensive use of analytical instrumental methods such as analytical and preparative HPLC, high-field nuclear magnetic
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of the following areas is an advantage: Quantum sensing Hands on experience with nano fabrication and nano characterization methods Personal and relational qualities will be emphasized. Research experience