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of Research Experience1 - 4 Additional Information Eligibility criteria PhD in Environmental Geosciences, Environmental Engineering, or related field. Demonstrated experience and independence in analyzing
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to the production and exploitation of large simulation ensembles for the assimilation of paleoclimate data over long climate time scales. · Participate in the scientific exploitation of the simulations produced and
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Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in experimental subatomic physics, - Desired experience in scientific instrumentation / particle
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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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engineeringYears of Research ExperienceNone Research FieldPhysics » AcousticsYears of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in one or more of the following
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FieldPhysics » Surface physicsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in condensed matter physics (mandatory) - Experience in nanofabrication (preferred) - Experience
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belongs to one of the three marine stations of Sorbonne Université. With about 120 permanent staff, the LOV generates and analyses a large quantity of marine data, including imaging, genomic, and satellite
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of Research ExperienceNone Additional Information Eligibility criteria PhD in life sciences. Experience in cell and cancer biology and in vivo models of cancer. Good mastery of bioinformatic tools. Experience
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new technologies related mainly to the Internet of Things, the use of large amounts of data, and the autonomy of systems due to the development of AI. The effect can be beneficial, for example by
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. Automated data-driven selection procedures will enable to gain objectivity and capacity to handle large amount of data from a wide range of epidemics. The first challenge consist in refining previous models