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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Will Gain from This PhD This PhD offers the opportunity to: Develop highly sought-after skills in knowledge engineering, semantics alignment, and collaborative innovation. Collaborate with leading
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will develop an internationally visible research program in AI-assisted drug discovery at the interface of chemoinformatics, molecular modeling, machine learning, and experimental pharmaceutical research
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legislation, the successful candidate's appointment is subject to authorization by the competent authority of the French Ministry of Higher Education and Research (MESR). Precision nanomedicine requires
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". The activity will take place at the Centre Gestion Scientifique (CGS), Mines Paris-PSL, Université Paris Sciences et Lettres https://www.cgs.minesparis.psl.eu/ This is a tenure track position with a reduced
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packages via this link no later than 1st September: https://essec.qualtrics.com/jfe/form/SV_aXVV4DtGhOaVCxU Applications should include curriculum vitae, cover letter, research statement, teaching statement
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. This project aims to evaluate its potential as a regulator of the antitumor immune response. The site is accessible by tram (Line A, Campus Illkirch station) from the Strasbourg train station or by car (parking
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of the CNRS and the University of Lyon 1. With around 100 staff from the CNRS and the higher education sector, and a similar number of student interns, postdoctoral researchers and visiting researchers, it is
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 24 days ago
will develop and evaluate a privacy risk-assessment and privacy-enforcement framework for agentic AI. Specifically, the project will focus on: Privacy risk assessment of user data: analysing
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to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
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biologists (LOB, UMR 7645), is recruiting a Ph.D. student to develop the synthesis of several chemical series using a SAR approach aimed at identifying drug candidates against tuberculosis. The development