231 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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- Technical University of Denmark
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applications, regulatory compliance, and stakeholder engagement. Who are we looking for? We are looking for a highly motivated postdoctoral researcher with a PhD in chemistry, materials science, process
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. You can read more about the department here and about the faculty here . The project is based
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interest A PhD in Biomedicine, Immunology, or a related field Expertise in flow cytometry and cellular biology Experience with in vivo mouse models Strong analytical and problem-solving skills Excellent
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qualifications PhD in molecular biology, biomedicine, biochemistry, or a related field. Experience in genomics tool. Strong analytical, organizational, and record-keeping skills. Good communication skill in
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the project. Disseminate research findings through publications and presentations at international conferences. Expectations of qualifications: PhD in Ecology, Evolutionary Biology, or a related discipline
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approx. 200 colleagues, including ninety academic staff members and a corresponding number of PhD students. We work closely with one another across different fields of study and prioritise a healthy work
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future inter-cooperations between local communities and national authorities. Requirements The successful candidate has a PhD in Arctic Climatology, Sea-Ice conditions, Anthropology or other similar fields
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cilia biology as outline above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. mass spectrometry-based proteomics, fluorescence microscopy, CRISRP-mediated
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expansion in the 4th to 1st century BCE and the natural climate changes that seems to occur in the same period. Requirements The successful candidate has a PhD in History, Archaeology or other similar
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Postdoctoral Position in Social Systems Modelling at the Social Resilience Lab as part of the Computational Culture and Complexity Research collective (CORE), Department of Culture, Cognition and