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. Proficiency with chemical analytical methods using LC-MS/MS, as well as strong skills in data processing using statistical computing and visualisation (MATLAB, R, Excel, etc.) are also essential. Additional
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, Abilities, and Competencies Strong mathematical foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning
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for this position has been assessed at a level #4 on a scale of 0-4. Qualifications: PhD in bioinformatics and metabolomics and 5 years of relevant research experience Coding experience with at least two languages (R
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methods (e.g., SGTCCA-NET) for the project's needs. Develop and implement novel statistical approaches for multi-omics network analysis. Update and improve existing R code to incorporate methodological
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
to resolution; in-depth knowledge of preventative maintenance standards and practices related to plumbing systems, HVAC/R plumbing systems and experience with building and underground utility systems such as
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- Laboratory/Non-Laboratory Staff/Administrative Internal Number: 17493 POSITION RESPONSIBILITIES The Psychology Assistant will assist faculty on the R-CARE study in administering neuropsychological tests
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Change, 71, 102348. Aledavood, T., Luong, N., Baryshnikov, I., Darst, R., Heikkilä, R., Holmén, J., ... & Isometsä, E. (2025). Multimodal digital phenotyping study in patients with major depressive
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for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in
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, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and Chinese (Cantonese and Mandarin
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in LaTeX and good programming skills (typically in one of R, Python, or Julia, with the capacity to learn). Familiarity with, and readiness to apply, the principles of open research, including code