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Field
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challenges, including data analysis, hypothesis generation, and experimental design optimization. We seek a highly motivated postdoctoral candidate with expertise in AI, machine learning, and computational
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of the art in the area of antenna characterization systems; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through
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optimization of b-tagging performance for the upgraded tracker. Responsibilities: Conduct independent and collaborative research. The successful candidate will be expected to take a leading role in physics
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in yeast cultures. Workplan and objectives to be achieved: Optimization of bioprocesses to produce yeast biomass and bioactive compounds by microbial fermentation; hydrolysis and functionalization
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one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given
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aims to define the optimal specifications for spaceborne hyperspectral sensors to detect diseases in Australia’s key wheat and barley crops. The successful candidate will lead the development and
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vehicles. You will work with dynamic teams in multi-organizational consortia and carry out research activities focusing on synthesis, characterization and optimization of advanced cathode materials
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analytics and insights collection and reporting Support of medical congress and information booths Contributing to the execution of omnichannel and digital strategy within Medical Affairs to ensure optimal
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harness the power of Data Science, Process Mining, LLMs and Artificial Intelligence to optimize public administrations (PA) processes. The main objective is to face the challenging problem of compliance
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to ensure optimal orchestration of scientific information to key stakeholders Qualifications Doctor of Pharmacy degree from an ACPE-accredited institution Eligible for pharmacist licensure in the State