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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 20 hours 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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. * Examine mechanisms of organ cross-talk between the heart, vasculature, and brain. * Utilize in vitro and in vivo models, including inflammatory and aging-related models. * Perform molecular
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disease. The molecular mechanisms driving the individual endotypes of severe asthma have not been fully characterized, and in vitro model to develop endotype-specific therapeutic interventions or biomarkers
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
Department of Molecular Medicine at SDU is looking for applicants for a PhD scholarship within the field of biomarker and therapeutic target investigations in biliary atresia. We are looking for a
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Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications We are looking for a researcher with strong experience in statistical physics applied to molecular modelling
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dysfunction in heart failure, sepsis, and related inflammatory conditions. Utilize in vitro and in vivo models, including mouse models of sepsis (e.g., CLP, LPS), ischemiareperfusion injury, and vascular injury
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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Description The International Max Planck Research School for Molecular Plant Science (IMPRS MolPlant) is a doctoral programme in plant science at the Max Planck Institute of Molecular Plant
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the project. Preferred: Skills and experience in molecular spectral analysis. Knowledge of molecular theory and spectral modeling. Excellent problem-solving and communication skills. Excellent written, oral
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series