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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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, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
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methodologies to study lipid–protein interactions in live cells, with applications to neurodegenerative diseases. The successful candidate will: Design and perform experiments using advanced fluorescence
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engineering industry, plasma drives, and ozone generation. Key Duties: Planning of research, experimental design, and measurement of electrical and optical quantities aimed at understanding the processes
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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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/0004607, within the Operational Programme Johannes Amos Comenius (OP JAK), Priority 1: Research and Development, Specific Objective 1.1: Development and Strengthening of Research and Innovation Capacities
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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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support and become a key driver of innovation, excellence, and global research visibility. RESEARCH FOCUS 1. Quantitative Methods in Economics & Finance • Performance and stability analysis of firms and