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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program. This PhD project aims to develop an analysis tool for the optical ground-to-satellite links
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE ), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind. Your main tasks, as a PhD candidate, are the following: Conduct
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publishing in international journals We expect that you have: The successful candidate must have a PhD degree or document equivalent qualifications in a relevant field related to environmental sciences, like
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Bioimaging Cluster of Excellence (https://mbexc.de/ ). Most PhD students are inscribed in the competitive „sensory and motor neuroscience“ program of the Göttingen Graduate School for Neurosciences, Biophysics
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the microbiome as a key target for future therapeutic and preventative measures. MICRO-PATH is a competitive, interdisciplinary PhD programme supported by the PRIDE scheme of the Luxembourg National Research Fund
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inclusive research groups. Your role The UBIX Research Group is searching a PhD candidate to work on data-driven sustainable energy systems. The successful candidate will join the UBIX Research Group, led by