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- MASARYK UNIVERSITY
- Biology Centre CAS
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences
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and other courses provided by MU, use of MU libraries, use of placements and mobilities abroad, participation in conferences, etc. HOW TO APPLY Please send your application via the electronic
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learning some basic bioinformatics. They should be fluent in English (written and spoken) with good communication and organisational skills. The successful candidate has to hold a Master's degree in Biology
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in learning some basic bioinformatics. They should be fluent in English (written and spoken) with good communication and organisational skills. The successful candidate has to hold a Master's degree in
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.; Liu, T. Enhancing geometric representations for molecules with equivariant vector-scalar interactive message passing. Nat. Commun. 2024, 15, 313. doi:10.1038/s41467-023-43720-2Frank, J. T.; Unke, O. T
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worker for the position FOREIGN RESEARCHER I (for the project called Multi-sector and Interdisciplinary Cooperation in Research and Development of Communication, Information and Detection Technologies
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hires 1 worker for the position FOREIGN RESEARCHER II (for the project called Multi-sector and Interdisciplinary Cooperation in Research and Development of Communication, Information and Detection
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, microdissections, fluorescence microscopic methods, and knowledge of molecular methods and developmental biology and/or bioinformatics is a plus. Teamwork, enthusiasm, and excellent communication skills We offer
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-to-have: Work experience in simulations with proteins/membranes and their analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide to you: Open access
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analytical reasoning. Previous experience with dinoflagellates or cultivation in general is a plus. You are organized, accurate and responsible. Importantly, you possess excellent communication skills
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message passing. Nat. Commun. 2024, 15, 313. doi:10.1038/s41467-023-43720-2 Frank, J. T.; Unke, O. T.; Müller, K.; Chmiela, S. A Euclidean transformer for fast and stable machine learned force fields. Nat