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from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within the development
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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
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of the ProWater Project (The use of industrial by-products as secondary resources in wastewater treatment) funded by the EU Interreg Aurora programme with project partners from Northern Sweden and
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range of disciplines in plant biology, including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see www.upsc.se). The postdoctoral scholarship
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research plan) Strict compliance with the MSCA mobility rule that the researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the host organisation's country
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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, advanced light and electron microscopy, and computational life sciences Guidance on relocating and settling in KTH and in Sweden Qualifications Requirements A doctoral degree or an equivalent foreign degree
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We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from
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(+16 hrs) conditions. You will work closely to two other researchers: one with tissue culture expertise and one with practical plant breeding expertise. The work duties include: Plan, design, execute and