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individuals, biochemical markers, cognitive testing, animal models, and cell biology experiments. Our long-term goal is to contribute to the development of new treatments for neurodegenerative diseases, where
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: an insight from Genetics, Single-Cell Transcriptomics, and Machine Learning. Profile of the graduate Ph.D. graduate has extensive knowledge of cell and developmental biology, ranging from basic principles
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Number 101216924 Is the Job related to staff position within a Research Infrastructure? No Offer Description Efficient operation of yeast cell factories requires precise regulation of metabolic fluxes
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Description This doctoral position is part of GRAIL ("Gamma Radiation from the Atmosphere for Investigation and Learning"), a prestigious Horizon Europe Marie-Skłodowska-Curie Action Doctoral Network (MSCA-DN
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Description This doctoral position is part of GRAIL ("Gamma Radiation from the Atmosphere for Investigation and Learning"), a prestigious Horizon Europe Marie-Skłodowska-Curie Action Doctoral Network (MSCA-DN
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collaborations, mobility periods, and research secondments Research Areas Applicants are invited to propose research aligned with one or more of the following areas: Renewable Energy Sources Photovoltaic Systems
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Department's Website: https://engineering.uark.edu/ Summary of Job Duties: The Senior Research Assistant will support multidisciplinary research experiments involving cell biology, experimental cell and animal
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progressive decline at the neuromuscular junction, the vital connection between nerve and muscle. You will have a unique opportunity to work with a multi-disciplinary team of cell and molecular biologists
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
; proficient with Unix/Linux. Experience with deep learning, statistical modeling, or AI applications to biological data. Familiarity with transcriptomic technologies, ideally single‑cell RNA‑seq or long‑read