44 programming-language-"U.S"-"U.S" Postdoctoral positions at Northeastern University
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About the Opportunity Job Summary The Distel Laboratory at Northeastern University's Marine Science Center seeks a postdoctoral researcher to take a leading role in a research program that
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quantitative data analysis ● Strong technical expertise and independence in programming, with proficiency in tools such as Binary Ninja, IDA Pro, Matlab, software radios, LaTeX, etc. ● Demonstrated
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of peer-reviewed publications Excellent verbal and written communication skills, attention to detail, and training in research methodology and quantitative data analysis Ability to plan and execute research
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ideas relevant for the collaboration, as well as excellent ML programming and mathematical skills. KEY RESPONSIBILITIES & ACCOUNTABILITIES Assist in initiating, executing, and completing research projects
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fibers, optical and optomechanical components are desired. Experience in scientific programming using MATLAB/Python/C/C++ for data analysis and algorithm development will be favorably considered. Good
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out lab infrastructure, formulating specific research thrusts, and initiating research in robot planning, control, and sensing. Qualifications: Demonstrates the ability to plan and execute research
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, docking, or related modeling techniques. Strong programming and data analysis skills. Excellent communication and teamwork abilities. Preferred Qualifications: Background in glycan modeling or immunology
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programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA programming; Experience
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics