63 scholarship-phd-agent-based-modelling Postdoctoral positions at Technical University of Denmark in Denmark
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positions are attached to four different collaborative projects with related but distinct goals, all making use of our expertise in squeezing-based entangled states of light: ClusterQ (ERC): A platform for
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concepts and contribute directly to the development of a groundbreaking class of mucin-based therapies. You will be part of a vibrant research environment with full access to state-of-the-art facilities and
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employ this technique to quantify the local microstructural evolution during exposure to mechanical, thermal and corrosive stimuli/loads thus laying a knowledge-based foundation for design of AM-defect
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Job Description The Micro medical devices and hardware hacking-based technology (MIDAS) group at DTU Health Tech is seeking a talented and highly motivated postdoctoral researcher to join our
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Good level of English proficiency (understood, spoken and written). Team spirit and proactive attitude As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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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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water from biogas plants, aiming for the production of ultrapure water. You will also conduct comprehensive technical and economic assessments to guide the design of MD-based water treatment systems
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience
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motivated and collaborative colleague for this position, able to partake the following primary tasks: Develop a web-based tool to design effective take-back systems for remanufacturing, based on existing