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- CEITEC MU
- Institute of Molecular Genetics of the Czech Academy of Sciences
- Brno University of Technology, Central European Institute of Technology
- Charles University, Faculty of Pharmacy in Hradec Kralove
- Charles University, Faculty of Science
- Czech Technical University in Prague
- MASARYK UNIVERSITY
- Česká zemědělská univezita v Praze
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Field
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Qualifications: Completed doctoral studies – PhD in bio-resource technology, practical implementation of Machine Learning, or a related field. Strong knowledge of Food security theory. Understanding of principles
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to support and develop research activities, • supervise and mentor master’s and PhD students, and propose thesis topics, • develop and teach courses at the graduate and undergraduate level in statistics, ML
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description. This PhD project aims to develop computational and image-analysis approaches for quantitative characterization of cytoskeletal organization, polarity, and flow dynamics in single metastasizing
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. 2012; 24(6):634-9. https://pubmed.ncbi.nlm.nih.gov/22960555/ Research area: Cancer biology Keywords:CLL, microenvironment, CD20, BTK/PI3K inhibitors Funding for the PhD candidate: In the academic year
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of biochemical and mechanical control mechanisms. In the past decades, much has been learned about the mechanochemistry underlying cell polarization in various biological contexts. However, it is still entirely
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topic with the possibility of stay in the Schatz lab at Yale university (USA) Opportunity to learn the state-of-the-art molecular biology technique Suggested reading Senigl F, Maman Y, Dinesh RK
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with an interest in the eukaryotic cytoskeleton. The candidate should be eager to learn new techniques and eventually be able to drive the project. We offer a friendly environment of a young group with a
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Sep 13. PMID: 25080849 Review. Research area: Cancer biology Keywords: lymphoma, CLL, migration, microenvironment, co-culture Funding for the PhD candidate: In the academic year 2026/27 the net
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description The project will use bioinformatic analysis together with comparative approaches to individual cells, and machine learning to investigate how the vertebrate head evolved and what mechanisms control
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the PhD student using technics such as genome editing (CRISPR), RNA sequencing, use of primary samples, functional studies with various in vitro and in vivo mouse models. The research is also relevant