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a strong ability to multitask. Applicants with a background in state-of-the-art neuroscience approaches (e.g., omics-techniques, mouse genetics, super-resolution confocal microscopy, bioinformatics
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will include cellular microscopy, protein immunoblotting, maintenance of cell cultures, and DNA isolation and analysis. Attend all orientation and training sessions designated by the University and
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biogeochemical analyses, microscopy, image analysis, acoustic analysis, measurements of vertical flux. Skills in relevant statistical methods and quantitative analyses. Interest and experience in writing
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systems simulating environmental conditions, and/or analytical techniques such as spectroscopy, microscopy, or isotope geochemistry written and oral proficiency in English analytical skills, ability
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, an imaging platform, and a prototyping platform. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8002-MATBER-006/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD
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irradiated materials. This work will be under the supervision of Prof. Enrique Jimenez-Melero, UKAEA Joint Chair in Materials for Fusion (https://www.birmingham.ac.uk/staff/profiles/metallurgy/jimenez-melero
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of an artificial intelligence (AI) solution for the diagnosis of invasive fungal infections, using microscopy images obtained in laboratory settings with limited resources. Leveraging deep learning models such as
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experience in mammalian cell culture, organoid culture and analysis, and stem cell biology. Strong skills in molecular biology, next-generation sequencing, bioinformatics, general microscopy and confocal
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stimulating research environment. The project will be supervised by Prof. Rafal Ciosk and co-supervised by Prof. Marianne Fyhn: https://www.mn.uio.no/ibv/personer/vit/rafalc/ https://www.mn.uio.no/ibv/english
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regulatory regions of heat stress memory genes, and the candidate will apply both wet lab molecular biology, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim