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Field
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to the lab's research aimed at understanding how polyploid cells regulate their optimal size while maintaining their function. This effort is part of the lab's broader project to study ploidy transitions
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2 — additional desirable expertise: reinforcement learning, imitation learning, optimal control, dynamical systems, or related ML areas; experience with physics simulators (MuJoCo). Familiarity with
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of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
Academy of Sciences of 30 April 2010 (Journal of Laws 2020, item 1796, as amended), Article 89, Section 4. In particular the successful candidate will be responsible for: • optimization
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-responsive drug carriers from proof-of-concept toward clinical translation. Successful candidates will develop and optimize carrier formulations, assess drug loading and release performance, characterize
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, and scientific publications. Work Plan • Development and optimization of polymeric membrane coatings based on PDMS, polyurethanes, and thermoplastic polyurethanes. • Development of mixed-matrix coating
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 16 hours ago
reservoirs, (2) identify new opportunities for safely and effectively expanding underground natural gas storage operations in the U.S., and (3) optimize produced water disposal operations to maximize stored
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, implementing, and analyzing experiments on both test and preparatory scales; optimizing reaction conditions via experimental variable screens; characterizing small molecules via NMR, FTIR, and other
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to study important processes like reversible photopolymerization and click-polymerization. Finally, we will use the information-rich data provided by I-TR-NUS&TR-L to make the automatic optimization setup
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in