50 optimization-nonlinear-functions PhD positions at Technical University of Denmark in Denmark
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influencing the content of vitamin-active compounds and other nutrients in foods during processing. This work is conducted in conjunction with providing research advice to the National Danish Food Agency. We
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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to work both independently and in a team Some of the following qualifications are optionally wished Experience with bioinformatic tools Experience with working in microbiology of anaerobes Experience in
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an innovative approach that utilize bacterial interactions and bacterial gene products to reduce or abolish virulence of the plant pathogen. You will become an integrated part of the research group of Professor
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has
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quality control systems. You are excited by the opportunity to leverage state-of-the-art tools to investigate fundamental questions about pollutant adsorption/desorption in functional materials. Preferred
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microscopy, scattering, bio-sensing and microfluidics techniques and work on a range of protein systems — including alpha synuclein and TDP-43. At DTU-Bioengineering you will break new ground at the absolute
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Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems to test them? Then join the Precision Medicine Technologies Lab
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integrating machine-learning techniques with experimental datasets on bioplastic degradability. You will work to establish links between polymer features and degradability through mapping of existing data