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Technology, ITS Required Qualifications: Ph.D. in Computer Science, Library/Information Science, Knowledge Graphs / Linked Data in any discipline, or related field Proficiency in Python, and experience with
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Data, or related field Proficiency in Python, and experience with data analysis To Apply: Please send a cover letter, CV/Resumé, and 2-3 references to [email protected] , with the subject line
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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analyzing data using SQL or Python. 2. Strong organizational skills, attention to detail, and ability to prioritize and multitask. 3. Excellent written and verbal communication skills, with the ability
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. Postdoctoral associates are paid monthly and may be eligible for Yale benefits under applicable policies. Official policy: https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/postdoctoral… Qualifications
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-omic data integration. Computational skills for data analysis (e.g., Python/R, workflow tools, and reproducible research practices). Prior work related to neurodevelopmental disorders, regulatory
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, and analytic workflow development. 2. Proficiency with statistical and programming tools such as R, Python, SQL, SAS, or comparable platforms. 3. Strong understanding of data privacy, security
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in one or more programming languages for statistical analysis and data preparation (e.g., R or Python preferred; SAS, Stata, MATLAB). Proven ability to create large, complex data sets from disparate
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teaching of students, medical housestaff, and GI/hepatology fellows, participation in clinical and educational conferences, and an opportunity to engage in clinical research. The Section of Digestive
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/reconstruction, and interpretation of electrophysiological data, as well as proficiency with relevant computational tools and programming environments (e.g., Brainstorm, MNE, Python, MATLAB) and integration of MEG