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to cutting-edge research on spatial reasoning, semantic technologies, and interdisciplinary AI for geosciences and geography. Where to apply Website https://www.academictransfer.com/en/jobs/356998/phd-position
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on spatial reasoning, semantic technologies and AI for geosciences. Where to apply Website https://www.academictransfer.com/en/jobs/356999/phd-semantic-modelling-of-geoda… Requirements Specific Requirements A
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Description Are you excited about building cybersecurity platforms that are secure, explainable, and compliant by design? Do you want to combine real-time authorization, distributed ledgers, and verifiable
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knowledge security check can be part of the selection procedure. (for details: national knowledge security guidelines ) The interviews will be held December 15, 2025 Do you have any questions or do you
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. Please note: You can apply online. We will not process applications sent by email and/or post. As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do
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sent by email and/or post. As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer
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button will be considered. A knowledge security check can be part of the selection procedure (for details: national knowledge security guidelines ). Interviews will be held in March and April 2026. Where
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Website https://www.academictransfer.com/en/jobs/357429/phd-position-in-microbial-elect… Requirements Specific Requirements A MSc degree (or equivalent) in Environmental Engineering, Chemical Engineering or
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Max Planck Institute for the Study of Crime, Security and Law; Published yesterday | Netherlands | 2 months ago
The Max Planck Institute for the Study of Crime, Security and Law (MPI-CSL) is a growing European center for research in criminology, public security matters, and criminal law. The Institute is part
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine