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Staff scientist you are part of an EM technical and application team working with national research infrastructures at Umeå Centre for Electron Microscopy (UCEM). The position is financed by grants from
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artificial intelligence (AI) technologies, based on hardware inspired by the structure and function of the brain for superior energy and latency performance in embedded and human-centric applications. We offer
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of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed
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Applicants must meet the following qualification requirements: have a doctoral degree in a subject area relevant for the position be scientifically skilled within the subject area for this position be
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. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and
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empathy. You engage with and support colleagues from diverse backgrounds and perspectives, and promote a healthy work-life balance for both yourself and others. Application The application must be written
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delivering a mentoring programme for young MIMS group leaders and establishing an alumni network. Further day-to-day tasks may be assigned as required. Qualifications You will need a good understanding of the
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experience in programming. We offer the opportunity to develop and expand in different areas of work when it is in line with the project goals. The candidate will study and integrate large data sets and
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, including a joint postdoctoral programme of the Nordic EMBL Partnership for Molecular Medicine, drive fund raising and manage external reviews and refunding process. You will use your scientific and
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application! A brighter future! How does lighting design affect future design and product development processes and how digital tools such as VR/MR can contribute to experimentation and evaluation. Your work