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represents a major bottleneck for the study of complex catalytic interfaces. Objectives The objective of this PhD project is to develop data-efficient machine learning strategies to study CO₂ hydrogenation
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direct metal-protein interactions in cell is key to answer these questions, yet it is also a challenge due to the labile character of these interactions. Project: We aim to identify the protein interactome
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of results at conferences interaction with team members and international collaborators Required skills : Degree : PhD in computer science, machine learning, or computational biology We expect a candidate with
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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 12 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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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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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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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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expression, working at the interface of structural and computational biology, chemistry, and biology. IRB Barcelona is embedded in a vibrant scientific ecosystem and maintains close collaborations with major