17 medical-image-processing-phd Postdoctoral positions at University of Copenhagen in Denmark
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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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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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national human rights courts, tribunals, mechanisms, and transitional justice processes, and propose potential pathways to justice for victims. This position relates to the second part of the project
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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through self-regulation, lobbying, and coalition-building. Key Tasks: Conduct comparative case studies of business self-regulation in wage policy (WP2) and climate policy (WP3) in Germany. Utilize process
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In order to be considered for the position, applicants must have research qualifications at least corresponding to what can be achieved as part of a successfully completed PhD within a relevant field
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Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
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at the Faculty of Health & Medical Sciences and has been located in the Maersk Tower at the Panum building since 2017. The around 250 employees create an international, highly collaborative research environment
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leading one of two human intervention studies. Working closely with medical doctors, technical staff, and bioanalytical personnel, the Research Scientist will be responsible for ensuring the scientific 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