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PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award
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/InstituteINSTITUTE OF GEOGRAPHY AND SPATIAL ORGANIZATION POLISH ACADEMY OF SCIENCES CountryPolandCityKRAKÓWGeofield Contact City Warsaw Website http://www.twarda.pan.pl Street ul. Twarda 51/55 Postal Code 00-818 E
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Dans les domaines du spatial, de l'astronomie et de la défense, l'émergence
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staff position within a Research Infrastructure? No Offer Description Scientific Assistant in Teaching Spatial Planning The Institute for Spatial and Landscape Development and the research team “Spatial
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infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique
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supervisor Dr. Camilla Engblom and co-supervisor Dr. Joakim Lundeberg, in the intersection of spatial transcriptomics, bioinformatics, cancer immunology, with the ultimate goal to understand tumor-associated
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collaborate with colleagues to perform project tasks and work together with other PhD students in developing spatial modelling approaches Where to apply Website https://www.academictransfer.com/en/jobs/360192
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) – is a biomedical research centre focusing on translational immunology in the fields of cancer
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/Administrative Internal Number: 25647 RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab, will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 16 hours ago
Posting Description RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab, will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived from