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excellence. Candidates should propose an innovative research program that fits within the global themes of the IGMM and addresses a fundamental biological question. Such a project can be positioned
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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the formation of the inflammasome complex, setting off a cascade of inflammation. What’s even more intriguing is that AIM2 can also detect self-DNA , a crucial discovery with significant implications for cancer
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topological textures. A wide range of applied functionalities could be considered: terahertz sources, unconventional computing and AI, security components, telecommunications, sensors, memories etc.
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience with flow cytometry and
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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pool of leukemic cells in sanctuary lymphoid organs leading to transformation in high-grade lymphomas. 3) the elaboration of computational prediction tools of progression and new preclinical models