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Molecular dynamics of phase separation-controlled gene transcriptionAcute myeloid leukemia (AML) is a genetic disease in which gene mutations accumulate in hematopoietic stem cells thereby disturbing
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Organisation Job description A fully funded PhD position in the broad field of systems and control is available at the University of Groningen, the Netherlands. The specific subject of the project
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, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
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engage with interdisciplinary approaches. Good collaborative skills and ability to contribute to team-based research. Excellent command of spoken and written English (additional regional languages are a
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blotting, etc.). Excellent command of the English language (both written and spoken). Ability to work independently and in a team. Preferred: Prior experience working with RNA and related techniques (RT-PCR
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from large-scale body movements to fine-grained actions like speech. We bring diverse perspectives and methods to study fundamental issues in motor control, particularly in the context of Parkinson’s
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smart materials. Building on the foundational work recognised by the 2016 Nobel Prize in Chemistry, MonaLisa aims to make groundbreaking discoveries in the design and functional control of molecular
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Greek literature or in a related field. An interest in posthumanist theory and/or the environmental humanities. Very good knowledge of Latin and/or Ancient Greek. Excellent oral and written command
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throughout the project (periods to be decided under mutual agreement). Good command of spoken and written English. Experience with computational modelling of artificial life is a plus, but not required. We
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
in Groningen and Utrecht throughout the project (periods to be decided under mutual agreement). Good command of spoken and written English. Experience with computational modelling of artificial life is