36 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" PhD positions in Sweden
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with good employment conditions. More information about the department is available at: Department of Computing Science . Project description Machine learning is a key technique in many research and
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for the coordination of the Swedish National Graduate School on Ageing and Health (SWEAH) and engaged in the university’s profile area Proactive Ageing. Further information about the group can be found here . We hereby
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of cell therapies for Parkinson’s disease within the research group, you will be responsible for designing, conducting, generating data from, analyzing, and reporting scientific projects both in writing and
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of which four are doctoral students. For more information about the department, see www.umu.se/en/umea-school-of-architecture . UmArts supports interdisciplinary research across artistic and other academic
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to doctoral studies are found in Chapter 6, Section 3, Higher Education Ordinance (1993:100). More information is available on the university's website. Additional information For doctoral students, there is a
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/other relevant publications 6. Other merits of relevance for the position 7. Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete
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for, the Tandem laboratory based in Uppsala, for ion-beam analysis, and the SuperADAM neutron reflectometer based at the Institut Laue-Langevin in Grenoble, France. For more information please see the attached
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with diverse backgrounds. We offer Fully funded positions with access to excellent research infrastructure and high-quality Swedish administrative data, within a supportive and vibrant working
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Medicine and is led by Associate Professor Joakim Esbjörnsson. The group uses various bioinformatics and phylogenetics methods to combine genetic, clinical, and epidemiological data to explain how viruses
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you will have access to the supercomputing facility at Umeå University, and to unique large-scale data infrastructure (www.umu.se/en/research/infrastructure/umea-simsam-lab/ ) covering the whole Swedish