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of Neuroscience or similar, or be close to the completion of their degree. A strong background in mouse models of disease, stereotaxic surgery, chemogenetics and imaging is essential for this position. Expertise in
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, gender, origin, sexual orientation or physical ability. Commercial activities in response to this ad are not appreciated. Where to apply Website https://www.academictransfer.com/en/jobs/356978/arcnl-phd
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faculty including 11 PhDs and 1 MD among six translational and basic science laboratories. The equipment at the Emory University affiliated nuclear medicine departments includes state-of-the-art imaging and
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the language, as CHORAL’s working language is English. Possibility to apply to 3 PhD topics offered within the call for proposals. Selection process The selection process takes place in 3 steps: - 1/ Eligibility
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-in-a-nutshell . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational
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of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral-education/ Academic union
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
the Inria-AIO team (https://team.inria.fr/aio/ ) and will receive their PhD from Sorbonne University. The Inria-Paris center is located at the heart of Paris, in the 13th arrondissement. Some details of
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mathematics, data and computer sciences, and biomedical engineering. The PhD candidate will be based at the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/), which has a long
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of senior lab staff. This includes setting up the animals within the experimental apparatus, all aspects of imaging and computerized data acquisition. Analyze and process experimental data obtained. Trouble
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the human brain across the lifespan. Ultimately, we wish to identify key processes necessary for building resilience to brain disease. We use a combination of approaches applied to large datasets, including