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regulatory networks, cell behaviour, and morphology during this process. By examining species across evolutionary scales, we aim to uncover the mechanisms underlying morphological evolution and the general
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venues, and network with the international research community. Requirements: very good research-oriented university degree in a discipline that is relevant to SECAI’s research fields (e.g
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of computational approaches to large scale simulations Basic knowledge of (geo)chemical processes and machine learning will be of advantage Expertise in Machine Learning approaches, ideally beyond neural networks
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-connected research campus (public transport bus) and best networking opportunities individual opportunities for further training social benefits according to the collective agreement of the public service and
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partner groups MPI Halle and Leiden University/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements
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in interdisciplinary networks alike. The BMC of the LMU is located on the Martinsried Campus (one of the best scientific locations in Germany) and offers an ideal research infrastructure. Off campus
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excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program
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and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking
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an excellent research environment with access to state-of-the-art technology and methodologies, an international network, and a group that highly values diversity. The position is available immediately. LMU
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Europe, offering enhanced opportunities for networking, interdisciplinary collaboration, and career development both within and beyond academia. High standards in the selection and hosting of doctoral