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Description Objectives: 1) Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 2 days ago
website at https://jobs.hki-jena.de/jobs/job-offers for open calls and available PhD projects. The application deadline and specific requirements are listed in the individual job ads. Tuition fees per
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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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University of Bern (Switzerland). Research program description ThromboRisk will develop an integrated platform to advance our understanding of thrombosis across biological scales, combining mechanobiology
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 21 days ago
, we believe that a combined effort between computer simulation, physics and mechanics is required. While computer simulation has developed a large amount of knowledge to efficiently solve large-scale
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discovery or enrichment of strains with superior nitrogen fixation capacity and electroactivity. The partnership combines leading expertise in microbial electrochemistry and purple biotechnology, providing a
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. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques such as X-ray diffraction (XRD) to characterize, at the molecular level
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complex systems. Development and application of theoretical tools that combine experimental data and atomistic computer simulations to provide a comprehensive picture that is difficult to achieve through
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this collaborative project, we will develop a comprehensive strategy combining (1) vasculature-on-chip models, (2) in-depth nanobubble characterization, and (3) tailored imaging solutions to advance cancer diagnostics
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how learning from demonstration can be combined with data-driven analysis of trajectory data to capture the spectrum between expert and novice behaviours. Traditional approaches often rely on predefined