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on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device (https
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using open-source data, assess the reliability, transparency, and applicability of these models, and validate them through applicable use-cases. Where to apply Website https://www.academictransfer.com/en
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College of Chemistry and Molecular Engineering, Peking University | Ireland, | Ireland | about 13 hours ago
Four-year (48 months) Research Scientist (senior Postdoc level) position: Where: The Charles Institute of Dermatology (https://www.ucd.ie/charles/ ), School of Medicine (https://www.ucd.ie/medicine
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models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration
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their suitability for industrial use through experimental validation, modelling, and manufacturing integration. This is a unique opportunity to lead impactful R&D in sustainable engineering within a commercial
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technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated experience in doing so. This position is based
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remains poorly understood. The objective of this PhD is to characterize and model the biomechanical consequences of menopausal tissue remodeling in five pelvic-related soft tissues: skin, fascia, muscle
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
this platform by delivering gene editing tools, mRNA therapeutics, and other functional cargos into disease models. To drive this effort, we are seeking a highly motivated postdoctoral researcher (f/m/x) with a
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rate and provide a stipend of no less than the standard UK Research Council rate (currently set at £20,780 p.a.) for 4 years. Please note the eligibility criteria set out by the UKRI at: https
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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition