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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 11 days ago
, charge, hydrophobicity) and (ii) probing peptide-surface interactions at the single-molecule level. Scientific objectives This PhD project aims to extend this approach along two complementary axes. A
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.8b07216 [8] Dahlia Saad, PhD from Ecole Centrale de Lyon, “What happens at the nanometric scale at the liquid/solid interface? Implementation of an Atomic Force Microscope for 3D-AFM imaging of liquid/solid
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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. Experience with molecular biology techniques, microbiome analysis, or plant–microbe interaction studies is considered an advantage. You are motivated to work at the interface of fundamental microbiology and
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regulation (http://www.ipb-halle.de ). How to Apply: Please email a single PDF file containing the following documents to bewerbungen@ipb-halle.de (Subject: PhD ML Enzyme Design – Ref No. 11/2025): Cover
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Researcher (R1) Positions PhD Positions Application Deadline 31 Jul 2026 - 14:01 (Africa/Abidjan) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 2 Nov 2026
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the interface of plasma physics, quantum electrodynamics, and computational modeling. Your qualifications PhD degree in physics Knowledge of laser-plasma physics Theory and modelling of ultra-intense laser-matter
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is supported by the ANR project Data2Laws, part of the PEPR
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for knowledge acquisition, natural language interaction, and decision support, while integrating simulator data and multimodal inputs to provide timely guidance, feedback, and post-training analysis. This PhD