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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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structure–activity relationships (SAR) to optimize the potency, physicochemical and ADME properties, pharmacokinetics, safety, and in vivo efficacy of lead molecules. In collaboration with other scientists
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professional development activities throughout the fellowship. MINIMUM QUALIFICATIONS: Pharmacometrics (PMx) Candidate PhD in pharmacometrics, pharmacokinetics, pharmacology, pharmaceutics, or a closely related
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selection and optimization Evidence of scientific engagement and emerging thought leadership in Quantitative Clinical Pharmacology and Pharmacometrics. Quantitative Systems Pharmacology (QSP) Candidate PhD in
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 12 days ago
therapeutics and generic drugs. These efforts cover more than just medicines. Research Project: Current dose optimization strategies for oncology therapeutics rely primarily on clinician-reported adverse events
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opportunity to field test and validate their methods using real-world systems. Postdoctoral fellows will work across the following research areas: Predictive machine learning Robust and stochastic optimization
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a PhD in machine learning, math, stats, physics, or some other technical area by the time the position starts. Additional Qualifications Candidates should have significant experience in some area of
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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magnetic response. Development of machine learning methods for exchange-correlation functionals. Current work in the group is focused on improvements and performance optimizations for the recently developed