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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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. Familiarity in bio/nanomaterial synthesis, bioimaging, drug delivery, radiochemistry, and/or molecular biology techniques is preferred. Experience working with radioisotopes and small animal models is desirable
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Project on Skeletal Muscle Hypertrophy Mechanisms in Mice The project: The Section for Human and Molecular Physiology invites applicants for a three-year PhD fellowship in Molecular Exercise
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-reciprocity of spin waves Angular Momentum of Magnons Magnetically doped Transition Metal Dichalcogenide Thin Films via Molecular Beam Epitaxy Modeling of a magnonic diode based on spin-wave non-reciprocity in
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 8 hours ago
dedicated to elucidating the cellular and molecular mechanisms that establish immune tolerance to the microbiota, exploring how dysregulation of these pathways contributes to diseases and disorders in the gut
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
link: https://www.ncbi.nlm.nih.gov/myncbi/nathan.lawson.1/bibliography/public/ Send related inquiries to: Nathan D. Lawson, Ph.D. Professor Department of Molecular, Cell, and Cancer Biology University
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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | 3 days ago
their molecular organization remains poorly understood. This PhD project will address this fundamental question by focusing on IWS1, a conserved transcription elongation factor that functions as a central
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). More information on the IMPRS faculty: https://www.molgen.mpg.de/IMPRS/fac . The mission of the Max Planck Institute for Molecular Genetics (MPIMG) is to lead scientific and technological breakthroughs
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Computational , Astrophysics Experiment , Astrophysics Theory , ATLAS , Atomic Molecular and Optical Physics , Atomic Physics , Atomic, Molecular, and Optical Physics , atomic-molecular-optical physics , Atomic
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-learning (ML)- driven and physics-based computational workflows to screen large molecular libraries, predict key electrochemical and physicochemical properties, and deliver ranked shortlists of high[1