77 cloud-computing-phd-student Postdoctoral positions at Technical University of Denmark
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Collaboration with computational protein design partners and clinical reproductive biology collaborators Supervision of MSc and BSc students and contribution to publications You must have: A PhD degree in
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Job Description Are you a skillful and ambitious PhD graduate interested in kicking off your academic career in a renowned research group leading in the field of thermodynamics with a strong
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and tools. Experience in teaching advanced and fundamental science classes for university students. Experience in collaborations and bringing new ideas. As a formal qualification, you must hold a PhD
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qualifications: As a formal qualification, you must have a master’s degree or PhD degree (or equivalent) in engineering or equivalent within the area of bioinformatics, computational biology, or a related field
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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deliverables with high standards of accuracy and clarity. Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students We are looking for candidates with: Skills in molecular biology
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
of complex mixtures, including experimental measurement techniques and/or computational methods. As a formal qualification, you must hold a PhD degree (or equivalent) in chemistry, chemical engineering
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partners in Denmark and abroad. An important task is the co-supervision of BSc and MSc students in their experimental activities. Experience with a suite of thermochemical processes like nitriding and
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) including Faculty members, PhD students, postdocs, engineers and an administrator. DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 140 PhD students and a technical/administrative support staff