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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 | 29 minutes 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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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
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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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Implementing and optimizing advanced experimental techniques Integrating data across molecular, genomic, and imaging platforms In addition, the candidate will: Contribute to supervision and mentoring of students
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Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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optimization of cryogenic detector systems and apply AI methods to analyze the data collected by these systems, addressing key physics questions related to dark matter and neutrino interactions. This position