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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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mine to magnet. What You Will Do: Use and develop minerals and materials databases for computed and measured properties. Predict and control mineral reaction pathways using first-principles
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with direct access to or responsibility for controlled substances, high risk hazardous chemicals, biological or radioactive/nuclear materials This position is designated as a mandated reporter under
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to control and manage next-generation networks Managing scientific data and workflows in distributed environments Qualifications: Requires a Ph.D. in computer science, mathematics, computational science, or
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for ALS experimental beamtime. Collaborate with ALS Beamline Control Group and engineering to implement faster than currently installed X-ray detectors. In collaboration with ALS Computing group, develop