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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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packages for the successful candidate. Topics of Interests Post-Quantum Cryptography Multi-Party Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Position The position is open at
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents. Qualifications Required Education Appropriate PhD in
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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Experience: Candidate must hold a PhD or equivalent degree in neuroscience, biochemistry, chemistry, molecular biology, psychology, computer science, biomedical engineering, biology, or other relevant
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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to further develop the initiative. Developing the Scholar’s own research program Please note this is a two-year appointment with an expected start date of July 1, 2025. Compensation, Benefits, and Perks
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into concrete observational and computational strategies. This work will be carried out under the supervision of Professor Alessandra Corsi, in close connection with collaborators at the JHU’s Institute for Data
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for Data Analytics, based at the School of Computer Science & IT, University College Cork, Ireland. The Post-Doctoral Researcher will work in the intersection of various ongoing projects related to user