280 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "RAEGE Az" positions at Columbia University
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nanolithography and 2D materials techniques. All applications must be made through Columbia University’s Academic Search and Recruiting (ASR) system (https://apply.interfolio.com/179692 ). Applications solely
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Recruitment System (ASR). The application can be found here: https://apply.interfolio.com/180101 . Any applications submitted through directly to AJO will not be considered. Only applications at the above link
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for an Associate Research Scientist. Details: https://www.science.hr/jobs/218976/associate-research-scientist-9/ Where to apply Website https://www.science.hr/jobs/218976/associate-research-scientist-9/ Requirements
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go to our web page at: https://www.stat.columbia.edu Qualifications PhD in statistics or a related field by the date of appointment is required, as is a commitment to high quality research and teaching
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in Economics Knowledge of public and environmental economics, as well as causal inference. The ability to code in R and Python. Report writing and presentation. Cleansing and scrubbing large datasets
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quantitative, research-oriented postdoctoral scientist with strong AI/data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a deep interest in translating
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. We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://apply.interfolio.com/180104 . Contact: Ashley Delphia Email: Postal Mail: 538 West
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design, LLM fine-tuning, and model evaluation Assist with documentation, analysis, and reproducible research code Minimum Qualifications Type preferred qualifications Bachelor's Degree Strong Python
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detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques
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Beloborodov, Kishalay De, Yuri Levin, Brian Metzger and Lorenzo Sironi. More information on THEA can be found at https://thea.astro.columbia.edu . This position will have access to high-performance