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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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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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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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, 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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Required Knowledge, Skills, and Abilities Preferred Qualifications Experience with process design/synthesis/optimization and TEA. Experience with relevant tools (e.g., Aspen Plus, SuperPro Designer
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Required Knowledge, Skills, and Abilities Preferred Qualifications Experience with process design/synthesis/optimization and TEA. Experience with relevant tools (e.g., Aspen Plus, SuperPro Designer
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Experience with process design/synthesis/optimization and TEA. Experience with relevant tools (e.g., Aspen Plus, SuperPro Designer). Experience with programming (Python in particular) and AI/ML. Excellent
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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