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international research team to synthesize data and develop comparative models. Mentor and support graduate students conducting related research on fossil assemblages and ecological modeling. Participate in grant
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Biochemistry & Molecular Biology has an exciting opportunity for a Post Doctoral Associate position
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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Berkeley National Laboratory (LBNL), where he is the leader of the international Supernova Cosmology Project, among other initiatives. This position will work with research scientists, engineers, and data
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Engineering, Computational Neuroscience, or a related field is required. Experience with experimental design, data analysis, and/or modeling. PREFERRED QUALIFICATIONS Previous experience, education, or general
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Laboratory’s Biosciences Division, allowing for seamless computational and experimental research integration Position Requirements A recent or soon to be completed PhD within the last 0-5 years Computational
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studies, that are aligned with mentor teams research, ensuring consistency with established methodological approaches and models, adherence to project timelines, and completeness of documentation; write and
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discipline awarded before August 1st, 2026. Applicants with experience in mathematical modeling, dynamical systems, applied PDEs, analysis and simulation of stochastic processes, data calibration, and/or
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projects that apply machine learning and advanced computational modeling to integrate multi-omics, clinical, and imaging data for biomarker discovery and mechanistic insights in AD. The position offers
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demonstrable programming skills and modeling experience is essential. We offer a competitive salary, medical coverage, and opportunities for professional development. Qualifications Minimum Qualification: PhD in