45 computational-physics-superconductor Postdoctoral research jobs at Technical University of Denmark
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sector consultancy and participation in activities related to our advice and related work program with the Danish Agency for Climate Data (KDS). The GEO division also contributes actively to the centers
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, you will contribute to research-based teaching and the supervision of student projects. Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and
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Job Description Are you keen on contributing to the development of strategies for the electrochemical monitoring of brain organoids by applying your microengineering skills? Here, we can offer you a unique opportunity to do exactly that in a dynamic research environment. In the CustomMade...
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PhD students and postdocs at DTU Energy and DTU Physics, which will realize your designs in the lab, provide experimental input to your modelling and ultimately use the sensors to detect the activity in
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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computational and experimental techniques. Play an active role in education and outreach in protein design, including contributions to teaching and mentoring activities. You must have a PhD in a relevant field
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them to develop preforms; Draw the multifunctional optical fibers based on modified thermal drawing process of multiple materials (e.g. polymers and metals) with strongly different thermomechanical
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communication skills in English, both written and spoken. As a formal qualification, you must hold a PhD degree in physics, chemistry, materials science, nanoscience or equivalent. We offer DTU is a leading
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tools for production of proteins and peptides using yeast. The project aims to establish a robust and efficient production process for yeast based CFPS extracts through a collaborative effort that
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. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous