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PhD Position: Physical Computing and Learning in Soft Matter Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 24 February 2025 Apply
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, and we are committed to achieving gender parity in our recruitment. We now invite applications for a PhD position in the sub-project "Intelligent Matter", led by Professor Marjolein Dijkstra in the Soft
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Your job The Doctoral Network “Edible Soft Matter” (acronym: ESM), funded by the European Union in the frame of the Marie Sklodowska-Curie Actions (MSCA) funding programme is an international
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Chemistry, Transport Experimental Physics, Ion Flow Theory, Applied Physics, Soft Matter and Condensed Matter Physics, Nanoscience, Organic Chemistry or related degree. Candidates should have Prior experience
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concepts from soft matter physics, continuum mechanics, and polymer physics, to understand the highly complex phenomena of phagocytosis. You will work here The research is embedded within the Physical
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aims at bridging the gap between sophisticated experimental techniques, rheological models and reliable and feasible predictive modeling in soft matter, in applications ranging from polymer processing
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, theoretical chemistry, or a closely related (engineering or materials science) field. Experience with numerical methods and programming is required, and a background in soft-matter physics, physical chemistry
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requirements are: an MSc degree in Food Technology, Material science, Soft matter science or related disciplines, WITH proven data science skills; or: a MSc degree in Computer science or related disciplines
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technology, soft matter physics, and/or physical chemistry. Specific requirements are: a proven track record of performing experiments in the field of food technology; conceptual knowledge of existing theories
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experience in fields such as membrane, molecular, or cell biophysics or soft matter physics. We are looking for a candidate with a high level of intellectual creativity, genuine interest in fundamental