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application! Your work assignments The primary focus of this PhD position will consist in generating bioengineered models of human trigeminal pain, implement them in organ-on-a-chip systems emulating trigeminal
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position within a Research Infrastructure? No Offer Description Department of Soil and Environment You will be part of a research team working in different projects related to agricultural water management
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----------------------------------------------------------------------------- International and Diverse Scientific Community Our scientists, from professors to postdocs to students, hail from all corners of the world, representing over 80 different nationalities, and building on research
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Biomaterials (Biopolymers and Biomaterials - NTNU ), and Microbial Biotechnology (Microbial Biotechnology - NTNU ) research groups. Your main supervisor will be Associate Professor Catherine Taylor Nordgård, and
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programme, you must have completed a relevant bachelor's degree (180 ECTS) + master (120 ECTS) , or equivalent education in the fields of human centered technology, art, design, social sciences
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in the Austrian university system), you will work for the ERC project ‘The anthropology of the future: an art world perspective’ (ANTHROFUTURE) led by Prof. Manuela Ciotti (Principal investigator, PI
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scientists, from professors to postdocs to students, hail from all corners of the world, representing over 80 different nationalities, and building on research and degrees earned from the finest global
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distinguish between direct metabolic coupling and indirect competitive interactions. The candidate will assess how these relationships vary over time, and across the different microhabitats of the sea ice biome
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work beyond the research project, such as teaching duties. Be prepared for changes to your work duties after employment. Required selection criteria You must have a Master's degree in cybernetics
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criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in control of marine vehicles and/or robots. Additional training in machine learning methods is