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FieldEnvironmental scienceYears of Research ExperienceNone Additional Information Eligibility criteria - In-depth knowledge of geophysics and geodesy. - In-depth knowledge of modeling and inversion methods
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, an outstanding model of RNP condensates, we recently demonstrated the functional compartmentalization of germ granules, translational repression and activation taking place in two distinct phases. The project will
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, pharmacology, or a related field - Required knowledge in neurophysiology - Proficiency in Matlab or Python, with experience in data analysis and modeling - Highly motivated, rigorous, dynamic, with strong
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to colon cancer progression. The postdoctoral researcher will use a transgenic inducible colon cancer mouse model and organoids derived from this model. They will use various histology, molecular biology and
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, statistics, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology
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. Preferred experience level is from Thesis+2 to Thesis+9, but all applications will be considered. Two years (1 year renewable). Field: Astrophysics; Data Processing and Model Fitting; Active Galactic Nuclei
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transient motions at the top of Earth's core. The benchmark will be the subject of an international call to candidate models. It will lead to an evaluation of the various methods when applied to synthetic
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and identification of proteins associated with viral genomes in different cell models (human, rodent, avian, snake and insect). - CRISPR and RNAi genetic screens - Viral production and infection in L-3
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additional assests will be prioritzed: Experience in sarcoma research or related cancer models Familiarity with epigenetic mechanisms and chromatin biology Experience with zebrafish models of cancer Strong
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are: - Analytical development of new formalisms in relativistic quantum chemistry - Implementation in the open-source/open-access PySCF platform (Python) - Application to model systems - Supervision of students