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Office and Location: A research opportunity is currently available at the Center for Biologics Evaluation and Research (CBER), Food and Drug Administration (FDA). in Silver Spring, Maryland. The Center
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with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process
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cutting-edge research in LLM security and privacy, trustworthy AI, and cybersecurity at NTU Singapore. The role will contribute to the design, implementation, and evaluation of secure and privacy-preserving
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12 months, which can then be extended based on an evaluation at the end of the initial appointment. The candidate should have a Ph.D. degree from a reputable university, with expertise in robotic state
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the option for the payment of a higher incidence base being paid by the fellow. SELECTION METHOD The candidates' final classification shall be presented on a scale of 0 to 20. The evaluation will be conducted
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monthly by bank transfer. Evaluation and selection process: Candidates will be assessed by a) Curriculum assessment (50%); b) Motivation letter, clearly outlining experience relevant to the Additional
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economical catalyst systems to convert biomass to fuel by thermal catalytic processes. The role will focus on catalyst development, performance evaluation, and mechanistic understanding via detailed
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across the entire research cycle, from project development, to coordination, implementation and evaluation of the research program, to developing final products such as publications, presentations and
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building models for phonological and syntactic learning Mechanistic interpretability and controlled evaluation of language models Model human alignment, relating model behavior to behavioral (and potentially
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and analysis. The analysis involves mathematical proofs and empirical evaluations (require writing codes) on the proposed algorithms and existing benchmarks. • Prepare slides and present scientific