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Department: Medicine | School Biomed Sci - Biomedical Informatics This Post Doctoral Scholar will be responsible for conducting natural language processing research in pharmaco-informatics, and leading and
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and analyzing large genomic, epidemiologic, or clinical datasets; strong written and oral communication skills; ability to work independently and collaboratively; and commitment to rigorous
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training appropriate to patient-centered measurement or stakeholder engaged research - Excellent written and oral communication skills, including a record of, or strong potential for, peer reviewed
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applies to plant microbiome analysis and familiarity with R language Manuscript preparation and publication Location: Selby Hall (0410) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First
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specific requirements include color spectrum differentiation; manual dexterity/motor coordination, hand-eye coordination, physical communications; visual acuity and communication/language development
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years of prior post-doctoral experience, be highly motivated, and show good communication skills. Strong language and writing skills are important. Doctoral degree in Biological Sciences required
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of the following areas: Computer Science, Computer Science and Technology, or other disciplines with strong quantitative background. Proficiency in at least one programming language, such as R, C, Python or MATLAB
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related scientific computing languages) Ability to work both independently and collaboratively within a research team Record of peer-reviewed publications or manuscripts in preparation Preferred
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Astronomy, Astrophysics, or a closely related field by the time of hire. Candidates should have strong scientific programming skills using modern languages such as Python or C++. Expertise in statistical
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is