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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 11 hours ago
the resolution of conventional analytical methods, such as LC-UV and LC-UV/MS, to meet the escalating analytical demands. Robust and sensitive analytics leveraging modern technologies are imperative to advance
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, motivated Postdoctoral Fellow to explore how ion channels and lipid transporters control cell physiology and contribute to human disease. Our interdisciplinary team integrates electrophysiology, quantitative
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optimize custom low-cost SDL (Self-Driving Lab) hardware systems, with a heavy focus on additive manufacturing and 3D printing technologies. Modify and optimize 3D printer firmware, including motion control
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: Expertise in one or more of the following areas: machine learning, reinforcement learning, robust/stochastic optimization, control systems, transportation systems, power systems, electricity markets
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and validate a prototype microscope with enhanced sensitivity and contrast, evaluate label‑free and fluorescence imaging modes, and develop robust hardware/software workflows for low‑light measurements
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). Develop electronic and hardware control systems for laboratory instrumentation, including sensors, actuators, microfluidic devices, and automation components. Integrate experimental hardware with software
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analysis to enable robust assessment of data centre impacts on grid operations. The position offers the opportunity to work within a multidisciplinary research environment, engage with industry stakeholders
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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity
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to identify, quantify and compare these precursors using controlled laboratory experiments on granular systems combined with advanced optical measurements, with the objective of improving failure predictability