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of high-throughput genomic, transcriptomic, and scRNA-seq data. - Interpersonal Skills: Ability to integrate into a multidisciplinary team, interact and communicate with people from different fields
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, K-means clustering, random forest trees, hypothesis testing, etc.) - Python programming and the Unix environment - Ability to communicate results in French and English (writing scientific articles and
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tools and software for reprocessing mass spectrometry data (Dynamix, Proteome Discoverer, MaxQuant, etc.). - Manage work in an ISO9001-certified environment; - Communicate with internal and external
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, information and communication sciences, anthropology, history, and geography. This teamwork will be carried out within the framework of INRAE's national viability network. The successful candidate will benefit
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-performance computing projects (cosmological and galactic simulations, code development). The successful candidate will also benefit from the vibrant scientific community on the Paris-Saclay University campus
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. Large sets of data will be accumulated, and programing skills may also be useful to analyze the data. Fluent spoken and written English are needed to communicate efficiently the results (high-impact
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research (chemistry/astrophysics interface). • Proficiency in English (scientific communication); French is a plus. Additional comments The ANR ODUST project (PI: Dr. Dahbia Talbi) focuses on modeling dust
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the organization of seminars and scientific events. Experience in bibliometric analysis will be an asset. Candidates must be able to work as part of a team. Excellent communication and collaboration
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organizational and communication skills; - good written and spoken English. Experience in one or more of the following areas would be an advantage: - centrosome or primary-cilium biology; - intrinsically
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research environment. Excellent scientific communication skills, both written and oral. Ability to work independently, with strong organizational skills, attention to detail, and scientific rigor. Website