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Field
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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criteria Skills in experimental research are desirable. Knowledge of the scientific literature in numerical cognition and/or developmental psychology will be considered an advantage. A background in
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 14 hours ago
of enhanced recovery techniques in unconventional reservoirs, (2) identify new opportunities for safely and effectively expanding underground natural gas storage operations in the U.S., and (3) optimize
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optimize protocols for chemical synthesis and electrochemical functionalization of porphyrin macrocycles Synthesize porphyrin-based materials by electropolymerization Participate in the installation of a new
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in materials theory. The Division of materials theory offers world-class research in solid-state theory, using both numerical and analytical methods. The research is focused on magnetism, electronic
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research in radiochemical separations and advanced aqueous recycling of used nuclear fuel (UNF). The successful candidate will contribute to the development and optimization of advanced aqueous recycling
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Posting Description POSTDOCTORAL ASSOCIATE, Earth, Atmospheric & Planetary Sciences, to work at the intersection of physical oceanography, numerical modeling, high-performance computing, and machine
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selected by MedChem Australia. Your key responsibilities will be to: undertake research in lead candidate optimization publish research papers demonstrate research excellence assist with grant writing and
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
; design and optimize synthetic strategies for complex peptides, peptide libraries, and small proteins; develop scalable production methods using solid-phase peptide synthesis and native chemical ligation