210 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Technical University of Munich in Germany
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systems biology approach and with a focus on wood as substrate. The candidate will collaborate closely with CRC project partners across Germany to develop and apply multi-omics approaches and to investigate
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Sekretariat.lls@ed.tum.de More Information https://www.asg.ed.tum.de/en/lls
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comparative embedded ethics approach, examining neuroAI development in both clinical neuroscience and neurorobotics settings. Your tasks: The postdoctoral researcher will play a central role in the project and
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is one of the laboratories at the Institute for Biological and Medical Imaging in the Department of Bioengineering at Helmholtz Munich . Our group focuses on the development and application
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. This will largely advance our still limited knowledge on the intricate mechanisms of CHC perception in particular and on speciation mechanisms mediated by chemosensory evolution in general. The successful
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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are used to describe LPC in different sectors. There is a strong need to advance our understanding of the LPC process and develop reliable physics-informed tools to predict and reverse engineering the LPC
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to spatial design development in demonstrators, prototypes, and material-driven architectural applications Contributing to the further development of the professorship (e.g. Bioregional Design Lab, Material
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational