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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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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
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proficient in working with large data-sets (observational or numerical), machine learning, and running/analyzing numerical simulations. The initial appointment will be for two years at Rutgers University
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materials processing and characterization, optimization of process yield and increasing process volume, and investigating the detailed mechanisms behind each process step. Percentage Of Time- 20% 2
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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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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patient-specific, predictive models using real-world clinical data. The project aims to enhance understanding of disease trajectories, optimize treatment strategies, and support real-time clinical decision
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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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, PETS has developed into a major research group, recruiting numerous new core, part-time, and adjunct faculty, and an experienced team of highly trained administrative and analytic staff. The current PETS
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, PETS has developed into a major research group, recruiting numerous new core, part-time, and adjunct faculty, and an experienced team of highly trained administrative and analytic staff. The current PETS