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Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety
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qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
learning, or transformers is a major advantage. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD
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Functionalization reaction on molecular model substrates Polymer synthesis by chemical post-modification Physico-chemical characterization of polymeric materials at different scales Writing of reports and articles
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Laboratory (University of Nantes) and the NIMBE Laboratory (CEA Saclay). This molecular chemistry project aims to develop pericyclic reactions suitable for real-time NMR monitoring, enabling the detection
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim is to develop machine-learning models that describe how
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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for digital twin: 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
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. In vitro approaches include mammalian cell culture, molecular biology, microscopy, immunohistochemistry, functional genomics, proteomics, high throughput drug screening, and genome-wide sequencing. In