38 computational-physics "https:" "https:" "https:" "https:" PhD positions at Nature Careers
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no. 101179234. Why apply to the INTERACT programme? INTERACT offers a unique opportunity to join an international and interdisciplinary PhD program within biology/biomedicine, physics, chemistry or engineering
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diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide chemistry is required, as well as a
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Requirements: university degree (MSc or equivalent) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase changes), Computer Science and
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) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase changes), Computer Science and Informatics (Numerical Analysis; simulation
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A PhD position in inorganic chemistry is currently available at the Department of Physics, Chemistry, and Pharmacy. Project Background Modern industry is heavily reliant on molecular hydrogen (H2
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their achievements and productivity to the success of the entire institution. At the Faculty of Electrical and Computer Engineering, Institute of Solid State Electronics, Chair of Coating Technologies in Electronics
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
”. * Detailed CV, including personal contact information * Certified copy of diploma (Master’s degree in a relevant field) Shortlisting may be used in the assessment process. Further information about the PhD
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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Research Program RTG3120 on Biomolecular Condensates (https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having