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the Office for Faculty Equity and Welfare's website for New Faculty . School: https://haas.berkeley.edu/ Qualifications Basic qualifications (required at time of application) Applicants must have a Ph.D. (or
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leverage reinforcement learning, deep learning, and generative AI, and evaluate against the research front in mathematical optimization strategies, to enable efficient, robust, and adaptive evacuation
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, originality, and productivity in research, the strong potential to obtain external funding, a capacity for excellence in teaching and mentoring of undergraduates, graduate students, and postdocs, and a
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) Positions Postdoc Positions Application Deadline 10 Jul 2026 - 23:59 (Europe/Paris) Country France Type of Contract Other Type of Contract Extra Information Fixed-term contract (CDD) Duration: 24 months Job
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society. Students learn to analyze complex organizations, identify the causes of suboptimal performance and inequality, and develop and implement effective interventions at the micro (individual) and macro
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. Holders of this position will teach three courses per semester, primarily calculus. This one-year position is renewable for up to three years depending on performance and department need. The department has
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Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), particularly in Natural Language Processing (NLP) and Computer Vision (CV) Familiarity with genomic and bioinformatic databases
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mediation produce, or fail to produce, a deep and distanced historical understanding. The central challenge is to understand how certain configurations of the design space support an active construction
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or physiology. Further, postdocs should have a deep interest in scientific collaboration between researchers using theoretical and empirical approaches. The five projects are: A. Sensing the breaking point
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, deep learning, natural language processing, and generative AI models. • Collect, clean, annotate, structure, and analyze datasets required for AI model development and evaluation, including text data