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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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mutagenesis, imaging, genomics, and single-cell transcriptomics. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. PhD project 2: The PhD
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SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize
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combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s lab, in collaboration with Olof Lagerlöf and UmU’s new visiting professor Valentina Emiliani. Tasks
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-depth investigation of a class of vulnerabilities and devise static and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Funding category: Autre financement privé
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. The techniques used in the project include protein expression and purification, biochemical characterization, and in vitro reconstitution, cell imaging, western blotting, knock-out/down. Working tasks The senior
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative
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3D printing of prototypes with WASP 3D printer and Prusa 3D printer Creation of illustrations and graphics with Adobe Illustrator and Photoshop, or similar software Editing of images with Adobe