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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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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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highly desirable. Experience with computational methods such as density functional theory calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage
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calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage. The candidate should have excellent written and oral communication skills, strong organizational ability
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numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 16 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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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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, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be