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Field
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work in the laboratory of Professor Esben Lorentzen has used AI-based methods in structural prediction to hypothesize how novel cargo proteins interact with the ciliary trafficking machinery. The goal
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: Verifiable world models. The research will focus on developing a new class of structured, verifiable world models that integrate the flexibility of deep learning with the rigor of formal methods and
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, equivalence or registration of the doctoral degree, under the terms of the applicable legislation. This formality must be completed by the signing date of the contract. 4.1. General admission requirements
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legislation. This formality must be completed by the signing date of the contract. 4.1. General admission requirements are those defined in point 4. For the purpose of determining the appropriate profile
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or registration of the doctoral degree, under the terms of the applicable legislation. This formality must be completed by the signing date of the contract. 4.1. General admission requirements are those defined in
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2025-09541 Requirements Skills/Qualifications Eligible candidates should have a PhD in computer science. Experience in formal methods or in
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the number of months of parental leave granted under the Labour Code. For female candidates, the period may also be extended by 18 months for each child born or adopted, if this method of accounting for career
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such as mechanical exfoliation and stacking, as well as characterization methods including AFM, SEM, and optical microscopy. Experience with advanced nanofabrication techniques such as e-beam lithography
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social science or related field Formal research training and experience during doctoral studies Ability to work under deadlines with guidance and feedback Excellent organizational skills and demonstrated
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative