50 parallel-and-distributed-computing-phd positions at University of Copenhagen in Denmark
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and skills: You have a PhD in structural biology or the like You are highly experienced in single particle cryo-EM You have an active interest membrane proteins and drug development You are a dedicated
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the application and integration of data, code, and computational tools in the research at the departments. Assisting with practical tasks including access to high-performance facilities, server/data management, and
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in the project. Who are we looking for? We are looking for candidates with a PhD degree and demonstrable experience in food ingredient isolation, rapid experimentation, process miniaturisation
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Senior Analytical Chemist/Platform Manager in mass spectroscopy and chromatography – LC-MS and GC-MS
at all levels (PhD students, postdocs, and professors at all levels). In addition, the Platform Manager is expected to interact with other related analytical platforms at the department and across
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requires research qualifications corresponding at least to what can be achieved through satisfactorily completed PhD degree within the subject area. The overall assessment of the applicant will emphasize
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relevant tasks. The department can offer postdocs who teach up to 20% of their working hours, the Teaching and Learning in Higher Education programme without hourly compensation. Qualification requirements
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professor DipECVN, a continuum of PhD students, senior neurology clinicians and the possibility of training residents under the European College of Veterinary Neurology (ECVN). The scientific platform
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remedy for the victims of mercenary activities?’ Applicants should submit a proposal outlining how they will approach this research question. Essential requirements for the position: A PhD in law A
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Associate Professor Christian Lyhne Ibsen (cli@faos.dk ). Qualifications We seek candidates with the following qualifications: A PhD in Political Science, Sociology, Economics, or a related field (completed
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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models