76 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" "UNIV" research jobs at Technical University of Denmark
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information may be obtained from Daniel Olesen, danole@space.dtu.dk or Michael Schultz Rasmussen, msr@space.dtu.dk You can read more about the division at https://www.space.dtu.dk/english/research
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Associate Professor Luca Vezzaro. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU
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and optical wireless communication, pushing the boundaries of various fields like autonomous driving, healthcare, and high-speed data transmission. If you want to establish your career as an early-stage
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Prior experience in protein expression in industrially relevant hosts, e.g. Bacillus spp. or Pseudomonas spp. Strong skills within data analyses and representation. As a formal qualification you must hold
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to be able to work independently in the lab and take decisions on experimental setup and data treatment in relation to the overall goals of the project considering also the present state-of-the art. You
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obtained by contacting Prof. Brian Seger . You can read more about the Department of Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may find useful information on working in
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finite fields. The position (2 years, starting in April 2026) is part of the 5 years project CREATE “Algebraic curves in information theory: a treasure yet to discover” financed by the Villum Foundation
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Job Description Are you passionate about data science and X-ray experiments? If so, this position might be perfect for you. We are seeking a data scientist to advance our analysis of complex data
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on modelling the effects of small insertion and deletions. The candidate will also help with data management tasks for the database of variants effect that we are maintaining at DTU. We are looking for a
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materials, (d) Artificial Intelligence (AI) models to predict and control the construction process, (e) a digital twin / information backbone that enables cohesive operation of the design and production