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Field
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the component of HEALFAM project, which investigates the impact of unemployment from intergenerational perspective, focusing on adult children and their parents’ health. This will be done using data from large
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infrastructure, and flexibility in delivery both in terms of time and location. You will use mathematical modelling and big data sets to analyze capacity limitations and different charging conditions, and how
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layers, using transport and optical techniques to measure the relevant properties. They will have the opportunity to work with two large-scale facilities which the research division is responsible
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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to create analysis‑ready, topology‑correct 3D city models from multi‑modal geospatial data. The position is hosted at the Department of Mathematical Sciences at Chalmers University of Technology and the
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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) for analyzing large data sets Place of work: Umeå Forms for funding or employment: Employment as PhD student (4 years of education) Starting date: The preferred starting date is 1 May 2026, but flexible according
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group, we produce and process large amounts of mass spectrometry based metabolomics, lipidomics, and exposomics (chemical exposure) data in various human study settings, and the aim is to integrate and
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large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce ), was created
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genetics and data from real-world forestry to better understand how trees grow and adapt. It is perfect for you who want to combine hands-on field sampling, lab-based DNA work and big-data analysis. WIFORCE