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Field
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optimization for antibiotics and research in general The applicant must be motivated for science in general and this position in particular, responsible, and also have a great work capacity Personal skills
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, engineering, physics, or similar fields by the expected start date. Additional Qualifications Applicant should ideally have some experience in electric power systems, artificial intelligence, and optimization
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to work, a strong commitment for hit discovery and optimization for antibiotics and research in general The applicant must be motivated for science in general and this position in particular
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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optimize protein purification protocols for key stress response factors Establish in vitro reconstitution systems to study protein-metabolite interactions Design and implement genetic tools in C. elegans
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possible Responsibilities Develop and optimize integrated biophysical and biochemical methods to investigate metabolite-protein interactions in aging Apply structural proteomics techniques to capture protein
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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. David Granville, the incumbent will be responsible for: Designing and implementing research plans and approaches, including in vitro studies, in vivo models, formulation optimization Facilitating other