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Field
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization. • Design scalable algorithms for demand forecasting, risk
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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tools in heat and mass transfer, microfluidics, thermodynamics, bioengineering, micro/nanotechnology, and computational modeling. We are passionate about developing novel translational platform
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to employees to purchase as an option) • Health Savings Account and Flexible Spending Accounts offered • Employee Assistance Program - o Provided to everyone in your household • Short-Term and Long-Term
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; innovations in teaching and learning; assessment and program evaluation; decision-making and clinical reasoning; and anti-oppression, diversity, equity, and inclusion. Applicants must hold a doctorate degree
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with TCHATT leadership to ensure consistency in assessment and treatment delivery. Conduct and produce quality improvement analyses to enhance program outcomes. Liaise with TCMHCC leadership, providing
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demonstrated a proven record of accomplishment in high-quality research, as reflected in high-impact publications and the potential to build a sustainable, externally funded research program. Preferred
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design of innovative analytical and computational techniques to analyze,integrate and model multimodal data for the onset and progression of AMD . In doing so,the successful postdoctoral fellow will
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type