90 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" research jobs at Technical University of Denmark in Denmark
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of Design for Sustainability at https://construct.dtu.dk/sections/design-for-sustainability . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving
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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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Søren Hauberg
, http://hauberg.org . You can read more about DTU Compute at www.compute.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and -
career paths at DTU here . Further information Further information may be obtained from Prof Vincenzo Esposito at DTU Energy, vies@dtu.dk - https://orbit.dtu.dk/en/persons/vincenzo-esposito/ You can read
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(alexander.huck@fysik.dtu.dk ). 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 Denmark and at DTU
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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
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. The position also involves applying computational tools to guide enzyme selection and cascade design, as well as to interpret kinetic and screening data. The candidate will document methods and results in a
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling