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assessment tools for OSH professionals. In this project, we aim to develop a 'Biological Exposome' risk model for the workplace using a layered approach, moving from qualitative to quantitative risk assessment
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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dysregulation and clinical translation. The Boztug lab is focusing on the discovery of inborn errors of immunity (IEI) and the dissection of their underlying molecular pathomechanisms. The ultimate aim of our
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modelling of laser shock peening. Molecular Dynamics (MD) and Finite Element (FE) simulations will be combined to account for the complex physical phenomena and their different scales. The interdependence
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 13 hours ago
We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by using stem cell models and genomic approaches. Preferred qualifications: D. in
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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called syncytiotrophoblasts are subsequently damaged, by the altered haemodynamics, however the molecular mechanisms are not fully understood and the impact on haemostasis remains unclear. We aim
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candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer genomics. The position is connected
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an efficient AI foundational exploration of the molecular space. How can we bias the generative models towards desirable molecular properties How can we integrate generative AI models and different molecular
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating