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limited. To learn from past warmer climates and better understand the link between climate and extremes, we can use proxy-based climate reconstructions and climate models for past warmer climates. However
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physical). Solid background in programming and experience with machine learning. Knowledge of participatory design and co-creation methodologies. Ability to learn independently and passion for research
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about everyone’s research project and try to help and learn from each other’s problems to boost our scientific and personal growth. We also enjoy many team-building activities and events where you will
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- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with
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will be awarded a PhD degree from Radboud University upon successful completion. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a
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the Microbial Physiology team under supervision of Assistant professor, Dr. Martijn Diender and co-supervision of Prof. Dr. Diana. Z. Sousa. Where to apply Website https://www.academictransfer.com/en
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preferably have experience working with cyanobacteria Candidates should have excellent written and spoken English skills and be willing to acquire sufficient proficiency in Dutch Candidates are expected
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PhD at TU/e within the ICT Lab in the Signal Processing Systems group. Where to apply Website https://www.academictransfer.com/en/jobs/357819/phd-in-network-architectures-an… Requirements Specific
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the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment fully embodying
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: -Federated learning -Secure multi-party computation -Homomorphic encryption -Blockchain-based provenance and audit mechanisms Develop a subsystem or service that provides “security-by-design” recommendations