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science applications Computational Atomic-scale Materials Design with a focus on materials modeling and discovery with electronic structure calculations and machine learning Luminescence Physics and
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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by Printing and etworked Robots” (AM2PM). The goal of AM2PM is to develop and experimentally validate a complex digital infrastructure that integrates sustainable material design, computational
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
and Bioimplants group (The 3Bs), led by Associate Professor Leticia Hosta-Rigau at DTU Health Tech. The group works across materials science, organic/polymer chemistry, and molecular and cell biology