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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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procedures and train custodians in Green Cleaning techniques in accordance with the FMO Green Cleaning Program. Assigns and supervises work performed by hourly custodial employees and sub-contracted cleaning
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. Openness to innovative photo techniques and experimentation. Dedication to inclusive best practices. Ability to work under pressure on a high-performing team in a fast-moving, high-volume environment
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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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opportunity to shape the future of medicine. About the Department: The Program in Medical Education (PME) at Harvard Medical School (HMS) serves as the organizational home for all education programs leading
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of the leadership team and program staff to focus on their core work. This role is integral to our evolving strategy to meet the needs of schools and institutions interested in professional development, collaborative
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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