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is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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2026. This position is funded by the ENIGMASS+ federation and is primarily intended for early-stage postdocs with up to two years of experience since obtaining their PhD. We are seeking highly motivated
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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for comparisons. The postdoc will participate in the organisation of these comparisons: general preparation of the facilities, welcoming and accompanying visitors, measurements and analysis of results. 3
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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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into the physical mechanisms involved in the reliability of GaN chips, in order to assess their criticality and thereby better define and understand safe operating domains that ensure the required reliability
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and inter-team meetings (travel expenses will be covered if meetings are held at locations other than the postdoc's location), to present results at national and international conferences, and to
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-MINATEC site in Grenoble. Around 100 people work at the LTM: 30 researchers or research professors, 18 engineers and technicians, 31 doctoral students, and 16 postdocs. The laboratory's activities
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materials. The postdoc researcher pwill be recruited within the Openbar project, funded by the french national research agency (ANR) and in collaboration with Wilson Crichton from the ESRF. The postdoc
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modeling and simulation, and statistical inference (lead by mathematicians and biologists) - The recruited postdoc will be asked to work in the labs on a daily basis. - The recruited postdoc will be expected