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Field
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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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profiling (e.g., flow cytometry, ELISA) Experience with statistical analysis software (e.g., GraphPad Prism, R) for immunological data interpretation Prior publication record in peer-reviewed journals related
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also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring, neurodevelopment as
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studies. Lead secondary projects applying advanced quantitative statistical analysis to study DNAm signatures, sensitive developmental periods, and subsequent depression risk. Participate in projects using
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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; able to analyze data and write reports; computer literate to include ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data and
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to participate in interdisciplinary collaborative projects with other faculty members involved in the grant (statistics/data science, HDFS, psychology), and with other lab collaborators both within and outside
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complex data sets generated from experiments, often using bioinformatics tools and statistical methods to interpret results and draw meaningful conclusions. Publication and Dissemination: Writing and
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, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human genetics and
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include a demonstrated record of achievements and publications, and experience in clinical trials research, statistics, ocular imaging, and various forms of nutritional biomarker analysis. Preferences Type