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Department:Department of Laboratory Methods – Faculty of Medicine Deadline: 15 Nov 2025 Start date: upon agreement Job type: full-time Job field: Science and research | Education and schooling Dean
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, to study various aspects of Fibroblast Growth Factor (FGF) signaling in disease. Current focus is on non-canonical FGF signaling pathways, differential signaling of FGF-receptors, and development
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of Medicine About us Our laboratory is a world-class research facility mainly focused on fibroblast growth factor (FGF) signaling. Via understanding of FGF-FGF receptor signaling we aim to develop novel drugs
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to apply scientific knowledge in practice – emphasis is given on developing methods for the fields of forensic anthropology or on multi-disciplinary collaboration projects which address nutritional status
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biological component of the project. The postdoctoral fellow will establish and maintain genetically and fluorescently modified cancer cell models suitable for live-cell mechanobiology, such as reporter
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Instructor or Assistant Professor of the Department of Health Sciences of the Faculty of Medicine MU
an emphasis on multidisciplinary cooperation. Opportunity to engage in teaching using modern educational methods. Professional growth and the possibility of continuous education. Employee benefits (8 weeks
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Application deadline: 10 December 2025 Job Summary Teaching at bachelor's and master's level at Masaryk University in Brno Teaching compulsory subjects with a strong focus on quantitative research methods
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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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involved in exploring genomic data generated on primary leukemic samples, using computational methods. We are interested in specific features resulting from chromosome (re)organization and their functional
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such frameworks to create cross-disciplinary bridges between computational and clinical neuroscience. Specifically, candidates should have an interest in applying computational methods to address the identification