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Job Description If you are establishing your career as a scientist and are eager to apply your skills in metabolic engineering, synthetic biology, and microbial biotechnology, this is your
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members, and 30 members of staff who are hired on temporary contracts as research assistants, post docs or PhD students. The department’s ambition is to host an internationally leading environment
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PhD students. Contributing to the teaching at the department to build your teaching portfolio for applying to academic positions. Participating actively in the research community, including attending
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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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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University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from
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University and Aarhus University Hospital, involving both Health and Science at AU. The overall project will both use an existing clinical cohort, develop the framework for a new cohort and analyse data from
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the Director of Center for Music in the Brain. Your competences You have academic qualifications at PhD level, for example within the following areas of neuroscience, engineering, mathematics, medicine
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions