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, molecular biology or cell biology. Experience with signal transduction, modern histological methods and modern omics methods is advantage but not required. Include these in your application: A comprehensive
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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
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exploration of complex topics While prior experience with EVs is beneficial, it is not a mandatory requirement Prior experience with Density Gradient Ultracentrifugation and other methods for EV isolation and
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on Topological methods in Discrete Mathematics and conduct research related to problems in Combinatorics, Graph theory and aspects of the Constraint Satisfaction Problem (CSP) with emphasis on topological methods
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methods for lattice models., e.g., dynamical mean-field theory or variational Monte Carlo Good communication skills (oral and written) in English Informal inquiries about the position can be sent to Jan
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and demonstrated excellence in related fields with an excellent background in empirical methods and interdisciplinary research interests solid knowledge of spatial econometrics is welcomed with research