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thereafter). The successful candidate will be physically based with the AarhusNLP Group on projects funded by the Danish Ministry of Digital Affairs’ AI Initiative. This initiative stems from the 2024 national
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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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atmospheric circulation patterns to determine conditions that reinforce Arctic-mid-latitude coupling in collaboration with the ArcticPush PhD student at Universtiy of Copenhagen. Design and conduct experiments
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are searching for a highly motivated candidate who has: A PhD in a relevant field such as environmental management, geography, sociology, organization studies, political science, or related disciplines. The ideal
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should hold a PhD degree in electrical engineering, aerospace engineering, mechanical engineering, computer engineering, computer science or similar. Required skills: Good programming skills in C
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hold a PhD in biotechnology, microbiology, or similar. The ideal candidate also has one or more of the following: Hands-on experience with the cultivation of anaerobic microorganisms (i.e. acetogens) and
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documentation and teaching modules for industry and engineering students. Your profile A PhD in Materials Science, Mechanical Engineering, Metallurgy, or a related field. Proven experience in experimental
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consortium’s strategies here and original articles here (antibodies) and here (screening). Your profile Applicants should hold a PhD in experimental protein science, preferably with experience in biophysical and