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announces an open competition for the position Ph.D. student - Machine learning-based tools for multiparametric enzyme optimisation Workplace: RECETOX, Faculty of Science, Masaryk University in Brno, Czech
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, scanning and transmission electron microscopy, nano/micro-CT, mathematical modelling and many others. All of our projects are based on large network of local and international collaborators. This offers
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Experience with methods such as Stochastic Actor-Oriented Models (SAOM) or agent-based modeling (ABM) is an advantage but not required What We Offer A supportive, lively research environment with international
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of software engineering and programming at the bachelor as well as master level within the study programmes of the Faculty of Informatics of Masaryk University (FI MU): https://www.fi.muni.cz/catalogue-current
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of excellent quality in Artificial Intelligence and take responsibility for lectures and tutorials in courses included in the Czech bachelor study program Informatics (https://www.fi.muni.cz/catalogue-current
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: We are seeking a talented and motivated candidate to join a research team headed by Dr. Tomas Barta at Masaryk University, Faculty of Medicine (https://histology.med.muni.cz/bartalab ). Our lab focuses
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link until January 22, 2026 and submit the required documents: Structured CV in PDF format (min. 1 A4) Cover letter in PDF format Copy of diploma from the highest level of education (without notarial
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. Supramolecular covalency of halogen bonds revealed by NMR contact shifts in paramagnetic cocrystals. Chem. Sci. 2025, 16 , 20239-20244. https://doi.org/10.1039/D5SC05769H . J. Novotny et al. Paramagnetic Effects
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human stem-cell-based models (iPSC-derived neurons, astrocytes, cerebral organoids, neuron/astrocyte co-cultures and patient-derived glioblastoma samples and tumoroids), we investigate pathways and
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engineering, including CRISPR/Cas-based gene editing, lentiviral or transposon-mediated transgenesis, and stable expression of fluorescent or biosensor constructs. Expertise in cytoskeletal and adhesion biology