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regression models (e.g., SAR, LME) to derive ecological insights from big data sets. The project entails developing reproducible and scalable methodologies, using common software and programming languages
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Study (GWAS), Laboratory Operations, Laboratory Techniques, Magnetic Resonance, MATLAB, MRI Analysis, MRI Software, Neuroimaging, PET/CT, Presentations, Python (Programming Language), Quality Check
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the Required Qualifications section. Skills: Bioinformatics, Biomarkers, Computer Science, Data Analysis, Etiology, Exome Sequencing, GATK, Genetic Research, Linux, Neurodegeneration, PLINK (Software), Python
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Experience with Stata, R and spatial mapping software Experience coding and managing online open-sourced data platforms is desirable Excellent interpersonal skills and ability to work independently and on
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unique interdisciplinary environment where world-class researchers with expertise in computing and software, biochemistry, genome sciences, biological structure, pharmacology, immunology and other basic
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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unique interdisciplinary environment where world-class researchers with expertise in computing and software, biochemistry, genome sciences, biological structure, pharmacology, immunology and other basic
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. Candidates will need programming skills in MATLAB and CAD software skills. The ability to communicate scientific results to both broad and expert audiences, orally and in writing, is indispensable
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), or biophysical/computational modeling. • Interest or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion
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. Familiarity with the source code of major open source machine learning software packages such as Weka, Tensorflow, and PyTorch is a plus. Instructions Applications should consist of a cover letter, curriculum