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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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professional clinical activity may be considered. Teaching responsibilities: The holder of this position is expected to assist with the development and teaching in the Bachelor's programs in health (midwifery
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well as permanent research positions within CNRS or INSERM. Positions Available 1. Group Leader - Development & Stem Cells (Ref: TeamBDCS2025) We invite applications from researchers focusing on cell and
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mathematics for Grade 1 in the frame of the Luxembourgish School Monitoring Programme - Épreuves Standardisées (ÉpStan). At LUCET, you will work in a collaborative and research-driven environment, contributing
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constructs Preparation of cell extracts for metabolomic analyses and application of LC- and GC-based methods Contribution to general laboratory organisation (ordering, overseeing of stocks, storage
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interdisciplinary, and together we contribute to science and society. Your role As a Senior Frontend Developer, you will: Lead the redesign of existing web applications and development of new ones Design and build
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Pasteur. Developing tools and applications to be shared with the broader scientific community Interacting directly with scientist upon specific inquiries As part of a PEPR (Programmes et Equipements
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until 2026/01/04) Position Description: Apply Position Description The Physics Laboratory of the Ecole Normale Supérieure (ENS-PSL Paris) invites applications for up to three Junior Research Chairs in
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
the Master’s 2 and the Graduate Programme “Materials Science” option “Innovative materials, advanced technologies and modelling”. These lessons are necessary to study the behaviour of biobased products