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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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Qualifications and Skills: PHD STRONGLY PREFERRED High-level proficiency in R and Python and other programming languages. Expertise in high-performance computing environments. Experience analyzing single cell
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); containers (Docker/Singularity); CI/CD; build systems (CMake); version control (Git). ● High-Performance Computing schedulers (e.g., Slurm); cloud familiarity. ● Bonus: one or more compiled/scientific
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories
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with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy researchers. The successful candidate will lead development of variable importance measures – including
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. These experiences help students bridge academic training with practical impact in the field. Job-Specific Responsibilities: The Higher Education Program Coordinator will be a core member of the Strategic Data