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Job Description We are seeking a motivated postdoc to work on the design and development of i) a variety of sample preparation methods (mainly for blood samples) and ii) new fiber-based substrates
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and proposal preparation. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, networking, or related fields relevant
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a formal qualification, you must hold a PhD degree (or equivalent) in a relevant discipline. Candidates with the following expertise and qualifications will be preferred: Educational background in
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. Qualifications: You should have (or be close to achieving) a PhD degree. Background within computational methods for inverse problems, ideally tomography. Experience with development of numerical implementations
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the emergent properties of the twisted membranes. Analyzing and interpreting the results obtained from the microscope. Formal qualifications PhD In Physics, Materials Science, Chemistry, Electrical Engineering
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independently Excellent English and basic knowledge of the Danish language As a formal qualification, you must hold a PhD degree (or equivalent) in environmental engineering or a similar scientific area. We offer
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an international environment. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field