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Institute of Microbiology is looking for an individual that investigates powdery mildew resistance in hemp. Furthermore, the individual will also optimize a hemp transformation and genome editing platform
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development work on a carbon dot technology. The work requires knowledge of materials synthesis, polymer and carbon material properties, materials analysis, and characterization. Additionally, assistance in
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at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
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, Skills, and Abilities Candidates must be able to: Design retro-synthesis routes for screening hits and perform structure-activityrelationship studies Optimize the in vitro and in vivo pharmacokinetic
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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-accelerating-adoption https://www.nsf.gov/awardsearch/showAward?AWD_ID=2452693 The initial appointment will be for 12 months, renewable for another 2 years contingent on satisfactory performance and the
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-accelerating-adoption https://www.nsf.gov/awardsearch/showAward?AWD_ID=2452693 The initial appointment will be for 12 months, renewable for another 2 years contingent on satisfactory performance and the
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=2452693 The initial appointment will be for 12 months, renewable for another 2 years contingent on satisfactory performance and the availability of funding. As a part of CFIRE and its sister initiative
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at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop