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Field
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Recruitment Type Open Position Details General Statement PhD in a relevant field, experience with data science, remote sensing, modeling, and strong capabilities in R and/or Python are required. Additionally
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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning
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as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven Laboratory is committed to providing fair
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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methods to compare the new designs and techniques with existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical
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one-bedroom apartment around campus ~5000RMB/month Application Materials Required: Further Info: School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
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Monthly rent for a one-bedroom apartment around campus ~5000RMB/month Application Materials Required: Further Info: School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, P. R
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
: * Introductory proficiency in Python, R, or another programming language * Prior exposure to machine learning or AI techniques in clinical research * Experience using deep learning frameworks * Familiarity with