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, neuroimaging, and have relevant experience. The applicant should be proficient with Sleep Profiler EEG acquisition, PET and MRI imaging processing, and statistical analysis tools. Fluency in English and teamwork
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include, but not limited to, computational approaches such as AI and machine learning; methodological foundations and computational approaches for AI for biomedicine, Bayesian inference, cancer imaging
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Qualifications* Ph.D. degree in Neuroscience, Biochemistry, Cell Biology or equivalent experience Ability to perform duties independently Strong ability to analyze complex imaging and molecular biology data in a
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vigorous exchange of ideas and information, not only in the classroom but in the workplace by: -Creating a work environment in which people treat each other with respect and dignity, regardless of roles
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* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis
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approaches - including molecular genetics, RNA sequencing, FACS, biochemistry, confocal imaging, and behavioral analyses - along with integrative -omics workflows. Applicants must be able to apply
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, signal processing and image processing in medicine with an extensive level of access to large clinical datasets. Research in the Weil Institute focuses on the development, validation and maintenance
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blot, immunofluorescence) Cell transfection Mechanical testing and biomaterials characterization Quantitative image analysis Computational skills including data processing and statistical analysis Prior
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cryo-EM and/or cryo-ET workflows Experience in image processing and/or biostatics Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
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patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including