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and spoken English. Ability to work both independently and collaboratively in an interdisciplinary research environment. Wet lab experience (depending on the work to be developed). Environment
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experience. Location: Mathematical Modelling of Infectious Diseases Unit, Department of Global Health, Institut Pasteur, 28 rue du Dr Roux, 75724 Paris Cedex 15, France. Person specification: Experience 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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experience in one or more areas that include: breast cancer, lung cancer, antitumor immunity, vascular biology, stromal/mesenchymal cells. Highly motivated candidates with interest in areas of research
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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candidates with: A PhD (or near completion) in immunology, cell/molecular biology, female physiology, aging biology, or related fields. A strong track record of research and publications. Experience with
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is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right
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experience according to the Institut Pasteur guidelines. Required skills: General microbiology and molecular biology techniques Recommended skills: Genomics techniques (DNA sequencing, RNA-seq, Chip-seq etc
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is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right
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completing one) in biological mass spectrometry, proteomics, or structural biology, with demonstrated expertise in LC–MS/MS sample preparation and data analysis. While hands-on experience in cross-linking mass