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Vacancies PhD position on explainable DeepFake detection using Foundation models To vacancy overview Apply now EEMCS PhD PhD position on explainable DeepFake detection using Foundation models Are you
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learn, and how does early learning influence later intelligence? Join our interdisciplinary research team to develop and empirically test innovative Bayesian cognitive models that reveal the hidden
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approaches such as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will
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experience with cell-free gene expression systems and/or liposomes. You take an interest in liquid handling robots, Python and Bayesian optimisation. You are a team player and enjoy working in a
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neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS
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in outreach activities, all generally but not exclusively related to your research topic. You are encouraged to visit the ESA website at https://www.esa.int/ Field(s) of activity/research for the
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Background Follow-up after primary cancer treatment is, in several tumour streams, more intensive than the evidence currently supports. Where the aim is recurrence detection, frequent and intensive
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ongoing space science research activities at the various ESA sites, and more details about the fellowships, please visit our website: https://www.cosmos.esa.int/web/space-science-faculty
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forums such as the Inter-Agency Space Debris Coordination Committee (IADC) and standardisation bodies such as ECSS and ISO. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s