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particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicant is expected to be stationed at CERN
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Weill Cornell Medicine - Chandwani Laboratory | New York City, New York | United States | 2 months ago
graphics and statistical software to analyze and present data. Participate in abstract and article preparation with the Principal Investigator, publish results in research journals, and present findings
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and mixing Required Qualifications Proficient in Adobe PremierPro editing and a compatible audio mixing software such as Adobe Podcast: Enhance Speech or RipDawX Desired Qualifications Prior experience
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quantitative research methods and be proficient with statistical software such as STATA or R. Due to the nature of the role, excellent written and spoken English is essential. The Postdoctoral Fellow will
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Configure and integrate humanoid robot hardware and software systems for door opening and doorway traversal tasks. Support calibration, perception, locomotion, manipulation, and control pipeline integration
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. Preferably publications related in CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, TMM and T-BIOM Strong software implementation skills. Preferably 4 years+ research experience, including PhD/Master
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established software tools, with opportunities to explore and evaluate emerging analytical approaches. Gain experience measuring physiological responses to root treatments and characterizing plant traits
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software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV
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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
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smartphone applications in Flutter (or similar) 2. Knowledge and experience of using database and other relevant software (e.g. statistical software such as R, STATA or SPSS) 3. Experience