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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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eligible to work in the United States. Required Qualifications: Required Qualifications: Completion of Ph.D. or M.D./Ph.D. in biomedical engineering, chemical engineering, mechanical engineering
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on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism elucidation
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focused on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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structured data that prevails in governments, humanitarian organizations, enterprises, and healthcare. The anticipated research will focus on developing mechanisms for reliable and responsible AI-powered data
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in chemistry, physical chemistry, physics, biophysics, biology, biomechanics, mechanical engineering and electrical engineering work together in the Cluster. The HEiKA Graduate School on “Functional
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the molten salt/metal interface at multiple scales, from atomistic to mesoscopic, with the goal of identifying the fundamental mechanisms driving corrosion. Moreover, you will use this knowledge to suggest
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information theory. Our research focuses on the foundations of quantum mechanics, quantum information theory, and practical applications of quantum information. Examples include operational reconstruction
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fundamental research in systems and control theory. Have a recent Master’s degree in Applied Mathematics, Mechanical Engineering, Electrical Engineering, or another relevant field, with specialization in