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. In particular, we focus on spinal sensorimotor circuits and their role in encoding somatosensory input and motor control. We apply a systems neuroscience approach combining mouse genetics, molecular
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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Your Job: As part of your activities, you will carry out investigations of the continuous butanediol dehydrogenation under dynamic hydrogen release using pressure control in the laboratories
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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Your Job: Adaptive Control Theory (ACT) provides mathematically grounded and robust learning rules, prescribing that neurons should be diffusively forced toward a teacher trajectory and achieve
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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Tumor Biology – ideally with you on board! Our internationally renowned research team investigates cellular programs of gene control, epigenetics and signal transduction of mammalian cells, with a focus
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
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, 65 %). The Institute of Pharmacology focuses on deciphering the molecular mechanisms that control regeneration as well as tumor initiation and progression in epithelial tissues. The PhD project aims
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%). The Institute of Pharmacology focuses on deciphering the molecular mechanisms that control regeneration as well as tumor initiation and progression in epithelial tissues (https://www.uni-marburg.de/en/fb20