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Field
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productivity. Proficiency in statistical software (R, SPSS, or other) is required. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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therapeutics targeting GPCRs with higher specificity and efficacy. Relevant publications: Zhong X, Li Q, Polacco BJ, Patil T, Marley A, Foussard H, Khare P, Vartak R, Xu J, DiBerto JF, Roth BL, Eckhardt M, von
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for licensure in New Jersey. Applicants in All But Degree status will be considered for interviewing Preferred Qualifications Experiencewith data analysis software (e.g., SPSS, R, NVivo) Experience with health
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a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times
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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff are entitled to university
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to apply are: Ph.D. or related degree completed in neuroscience or an associated field. Experience with a programming language (MATLAB, Python, R, or others). Expertise in neurophysiology or animal behavior
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Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with colleagues and/or external stakeholders. Knowledge