53 optimization-nonlinear-functions Postdoctoral positions at Technical University of Denmark in Denmark
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genomic data from extinct and extant species, and machine learning, you will help develop a foundational tool for predicting extinction risk and advancing the use of genomics in conservation science. Job
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communicate effectively in English, both in writing and speaking. You work independently and also contribute actively in cross-disciplinary teams involving international academic collaborators and industrial
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Institute, you will play a vital role in advancing bioinformatics tools and pipelines to help prevent and control foodborne diseases. Food- and waterborne diseases continue to pose major public health
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modeling of highly renewable energy systems and carbon management in such systems. You will work with nearby colleagues, and with both academic and industrial partners in Denmark as well as abroad. Your
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. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
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reaction pathways, particularly scaling relationships and their implications for catalyst design. Spectroscopy and Instrumentation: Hands-on experience in the design, construction, and operation of in-situ
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). We are looking for a candidate with a background in engineering. The successful candidate should possess: excellent interpersonal and collaboration skills, which are required to work with others, in a
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qualification, you must hold a PhD degree (or equivalent). We offer The position offers a unique possibility of being part of an interdisciplinary research team working on building foundational knowledge linking
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using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and
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-extrusion 3D printing and 3D bioprinting. Topics include: 3D printable soft electronics for bio-hybrid tissues with embedded sensors Functional Bio-matrices for embedded bioprinting of perfusable tissue