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94720, United States of America [map ] Subject Areas: Physics / Quantum Sensing , HEP-Phenomenology (hep-ph) , hep-th , High Energy Physics , High Energy Theory , Particle Physics Appl Deadline: 2025/11
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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 03-Oct-25 Location: Berkeley, California Categories: Academic/Faculty Internal Number: 105303 Lawrence Berkeley
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the components of a system permit the continuous regeneration of these same components. Because of the history of this subject, we are especially interested in candidates with an expertise in category theory
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Sep-25 Location: Berkeley, California Categories: Academic/Faculty Internal Number: 105193 Lawrence Berkeley
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theory & experiment: Co‑design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data
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biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets
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historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex
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at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and
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2026. The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical