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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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characteristics (sex/gender, education, income), lifestyle factors, and prodromal biological risk factors for neurodegenerative diseases. Outcomes could be diagnoses of mild cognitive impairment, dementia, and/or
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(or equivalent) in biological sciences. Strong research background in cell biology, molecular biology, mouse models of cancer, and/or biochemistry. Prior experience in stem cells, vascular biology, 3D organoid
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-TEM. · The Department of Biochemistry provides a rich intellectual environment, with research in structural biology (cryo-EM, X-ray crystallography, NMR spectroscopy), and computational biology
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histological, molecular biological, and bio-informatical analysis. Perform a battery of memory-related behavior tasks. Present research project in scientific meetings. Write manuscripts. FLSA Nonexempt Grade 99H
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other common conditions in pet dogs, then use comparative genomics to determine those genes also relevant to humans. Genes and variants responsible are studied in the molecular biology lab and by testing
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, within the subject of the position, e.g. within genetics, genomics, evolutionary biology using bioinformatical approaches or within molecular biology addressing evolutionary questions. While there are no
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applications for a non-tenure track Assistant/Associate Research Professor, Biology and Management of Urban Pests. The successful candidate will engage with the national pest management industry and conduct high
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and stem cell biology. The study investigates how APOE4 expression in endothelial cells affects oligodendrocyte progenitor cells (OPCs), using iPSC-derived 3D co-culture models. This work aims to
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molecular biology and biochemical techniques such as cloning, in vitro transcription, nucleic acid purification, PCR, next generation sequencing library preparation and immunoblotting. Help prepare data