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, and drug discovery? We are excited to offer a PhD position tailored for a motivated candidate eager to push the boundaries of structure-based drug design using cutting-edge machine learning techniques
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modelling, and FGF printing and skills in using ML in analysis and design of FGF printed auxetic structures. Suitable candidates should have a Ph.D. in Polymer Materials Science, experience with electron
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of multi-petawatt laser technologies. The primary objective of the project is to exploit the theory and large-scale numerical simulations to design a laser-based optical system capable of efficiently
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for accurate and efficient analysis. Possible Research Themes We seek motivated PhD candidates to advance computational mass spectrometry in one or more of the following directions: Algorithm Development Design
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candidate will be enrolled in a PhD programme Chemical and Process Engineering. The PhD research will be carried out under the supervision of Dr. Petr Mazúr, with the following objectives: 1) Design and
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is to guide the rational design of improved mRNA delivery systems to advance the efficacy of cancer immunotherapy. The ideal candidate profile: Must-have: Degree in the fields of biophysics, soft
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Interdisciplinary scientific topics Supervision by experienced mentors and excellent scientists and tailored study plan Excellent and state-of-the-art research infrastructure International mobility and internships