656 algorithm-development-"The-University-of-Edinburgh"-"The-University-of-Edinburgh" positions in Sweden
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Field
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biology, and biotechnology. At the Department of Chemistry, we have strong research activities across all these areas, providing excellent conditions for further development of the field. The aim is to
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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a Research Infrastructure? No Offer Description Join us to develop physics-guided and data-driven foundation models for multivariate time series in safety-critical systems such as automotive. You will
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computational, theoretical and/or observational projects, to develop and deploy cutting-edge machine-learning and AI methods for astrophysics and cosmology, enabling precision tests of fundamental physics with
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opportunity to work in a world class research environment with highly qualified colleagues. As a member of our team we will offer you on the job training and development in your professional role as engineer
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audiences but also to achieve substantial international impact. For the PhD student, this includes both the ability and the willingness to contribute to the theoretical development of gang research and to
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, innovation, energy and sustainability, development economics, economic demography, financial history, and education and labour markets. More information is available on the department’s website: www.ekh.lu.se
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structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train
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in Bioinformatics with focus on MS-based proteomics. Your mission We are seeking a bioinformatician to analyse complex proteomics datasets and develop innovative tools for data processing