57 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Technical University of Denmark
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Excellent skills to communicate (written and spoken) in English. The assessment of the applicants will be made by the head of BCBT group, Prof. Solange I. Mussatto. As a formal qualification, you must hold a
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Department here: www.healthtech.dtu.dk . Additionally, you can read about the Herland Lab -Led by Prof. Anna Herland- at KTH here: www.herlandlab.com/ . If you are applying from abroad, you may find useful
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Energy our research is targeting exactly this, and we are looking for a postdoc to numerically aid our team in the design of biomagnetometers. It is possible to get a deeper understanding of how the brain
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or as soon as possible thereafter You can read more about career paths at DTU here . Further information En’Zync is a visionary research center led by Prof. Daniel Otzen, funded by the Novo Nordisk
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reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy project
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commercial activities. The PhD position is based in the Section for Bioinformatics, which focuses on developing and applying computational methods to solve complex problems in genomics, systems biology, and
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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will develop imaging-driven quantitative Mass Spectrometry-based omics methods, both at bulk population and single-cell levels, for this project. You will work closely with experts in cellular signalling
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs