108 master-"https:"-"https:"-"https:"-"https:"-"Dr"-"CEA-IBS" Postdoctoral positions in Denmark
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to the research project A detailed CV Copy of Certificates/Diplomas (Master and PhD degree). A complete list of publications Up to 3 of the most relevant working papers or publications. Please attach one pdf-file
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theoretically) Relationship to the aim and goals of the PAWP Section Planned national and international collaborations Potential to obtain external funding Copy of certificates/diplomas (Master and PhD degree
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methods (e.g. workshops, digital sprints), and ethnographic fieldwork. You will be breaking new ground within STS and Valuation Studies in a larger research team led by Principal Investigator, Professor
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working in interdisciplinary teams across institutions. You must be able to communicate in English, and since the primary language of the organisation is Danish, you should be prepared to learn Danish. Meet
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. Your primary responsibilities include: Investigating optimal power architectures for an 800 V bus in next-generation AI infrastructure. Developing high-efficiency, high-density power converters
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disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 425 academic employees and the same number of PhD
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. The postdoc is expected to be willing and able to contribute to the Centre for Journalism achieving two strategic goals: 1) To produce original research of high international quality, and 2) to exchange
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academic qualifications at master's degree level. Appointment as postdoc requires academic qualifications at PhD level. Who we are The research group is recognized internationally as a strong research group
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will lead a research project with the aim to understand the functional role and disease mechanisms of protein complexes associated with primary cilia and centrosomes. Cilia are antenna-like organelles
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study