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Field
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About the Opportunity Job Summary Reporting to the Assistant Vice President, Individual Giving, the Sr Director of Major Gifts, Gift Planning will develop a broad strategic plan for an integrated
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parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing of manuscripts and grant proposals is expected. Well-organized, able
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tools such as Bash, Python, or Ansible. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks
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workflow management tools such as bash scripting or SQL databases, CI/CD pipeline (including GitHub/GitLab), traditional parallel programming tools such as MPI and OpenMP. Experience with developing data
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date of August 01, 2026. Candidates are expected to develop an internationally recognized, independent research program involving any area of experimental or theoretical physical chemistry. Programs with
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and manage comprehensive testing plans across all Epic modules (clinical, administrative, patient-facing, and research). Lead unit, integrated, regression, user acceptance (UAT), and parallel testing
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. The ideal candidate will have a strong background in programming in R and Python, particularly in the context of simulation and modeling. Any experience programming with Julia would be a bonus, although it is
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. Collaborates fluidly with computational experts to conduct efficient analyses leading to discovery in mammalian neuron genome structure-function data. In parallel, trains to achieve mastery and excellence in
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parallel programming. ● Experience with writing scientific articles. ● Experience with writing scientific machine learning. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written