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develops over time, and how this development is affected by lack of mechanical stimulation, using a large animal model. The technical goal includes to develop, perform and analyse data from high resolution
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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high-quality research (80%), provide support supervising PhD-students and be a part of the research team. Your work includes teaching or other departmental duties, up to a maximum of 20% of full-time
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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support in relocating to Stockholm. For our employees to perform at a high level, we support, in various ways, the employee’s own responsibility and initiative to find a balance between work and private
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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TensorFlow or PyTorch. The selection among the eligible candidates will be based on the following criteria: The applicant’s documented knowledge and ability to perform high quality research within
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for high-resolution spectroscopy (x-ray photoelectron spectroscopy (XPS) and near edge x-ray absorption spectroscopy (NEXAFS)) on surfaces and in gas phase. One end station is dedicated to UHV surface
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across Sweden and beyond. At NGI, you will be part of a dynamic environment with access to a broad range of instruments, high throughput automation, and strong computational expertise (https
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space