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The Bikard lab at Institut Pasteur in Paris is seeking to hire postdoctoral researchers. We are investigating bacteria / bacteriophages interactions, and the genetic innovation that happens
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
]. This requires interactively defining a template per flower, and is not suited to multi-layered petals, as in case of a rose. This postdoc position is concerned with a data-driven approach that learns
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. Interactions with interdisciplinary teams will be encouraged to integrate biophysical and quantitative approaches. The candidate may also contribute to the supervision of students and trainees involved in
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screening studies and analyze infection phenotypes, while working closely with international collaborators in a highly interactive research environment. Strong experience in mammalian cell culture is
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, and figures in English. Fluency in written and spoken scientific English. Specific Requirements Strong interdisciplinary interactions with both the biology research team and the CIML bioinformatics
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for improvement. Scientific project management Planning experiments, analyzing results, writing reports and publications, and valorizing outcomes. Collaborative work: coordination and regular interaction with
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Information Eligibility criteria - Ability to work independently and organize activities with weekly reporting - Teamwork, interacting with doctoral students in the laboratory - In-depth knowledge of van der
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the academic program, and interacting with academic and international partners involved in the initiative. Main responsibilities Conduct high-level research in computer vision and generative AI. Develop and
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fundamental interactions, as well as to explore their links with the great structures of the Universe. The work of the LAPP teams aims, among other things, to understand the origin of the mass of particles
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interactions. Work with an interdisciplinary team to better understand neural function in healthy and patient populations. Communicate your work with non-experts in ML domains to facilitate collaboration Publish