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/or Training: The successful candidate should have a PhD in structural biology or in protein biophysics/chemistry/biochemistry. The candidate should demonstrate an academic record of excellence, and a
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level. You will collaborate with fellow PhD students and postdocs from various disciplines and can engage with both academic and industrial partners in Denmark and abroad. You are expected to participate
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The Machine Learning section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering a 2 and a half year fully-funded postdoctoral position
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, management, information science, education, political science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken
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, information science, education, political science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken and written English
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qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog
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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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for the project. Profile We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in ancient genomics
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level. You will collaborate with fellow PhD students and postdocs from various disciplines and can engage with both academic and industrial partners in Denmark and abroad. You are expected to participate
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the international focus of the degree programmes, the successful applicant will be expected to teach in English as well as Danish. Qualifications Applicants must have a PhD degree or document equivalent