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different stages of the cell cycle (Vukašinović and Hsu et al., 2025, Cell). We are looking for a motivated PhD student to investigate how hormonal signals are integrated and coordinated to control the plant
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, such as control and automation, mechanical engineering, robotics, electromechanical or mechatronics engineering. Ideally candidates have experience in system identification, theoretical and numerical
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approaches for N flux modeling and analysis. The successful candidate will be responsible to answer research questions related to the potential of integrated framework of sensing, modelling and control
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accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and integrate these data into the cis
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is known about how these changes are connected to the accumulation of lipids in microglia, and how this promotes neurodegeneration. In this project, we aim to elucidate how lipid metabolism controls
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offshore wind farms are coming online with tighter fatigue designs and more aggressive control strategies, your research will seek to assist decision-making (e.g. during operation, but also during design) to
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chromatin organisation, chromatin accessibility and gene expression data for all major cell types forming the peripheral nerve environment (as well as controls), generated from the patient-derived iPSCs and
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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collaborative project with other PhD students, postdocs and technical assistants. How to apply How to apply To apply, please send us the following documents, merged into a single PDF file: A one-page cover letter
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was a postdoc researcher at the University of Oxford. In the past years our research group has accumulated critical expertise and laboratory infrastructure to support this PhD. This research will be in