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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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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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Job description The Drug Discovery & Development platform at the Science for Life Laboratory (SciLifeLab DDD) is a national infrastructure for academic drug development with the task of translating
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the Research Environment The postdoctoral position forms part of an initiative to further develop
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University and the research institute RISE and is a multidisciplinary research center that works with the rapidly growing area of developing conditions and techniques to protect future AI-based systems
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focusing on protein characterization; however, there is a possibility for method development work for interested candidates. Work duties The main duties involved in a post-doctoral posistion is to conduct
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on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images
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particular, the candidate will work on the development of novel deep-learning reconstruction algorithms to retrieve 3D and 4D (3D+time) imaging acquired by advanced X-ray imaging techniques. Such developments
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simultaneously with measurements of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic
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battery technology supporting that electrification of the transport sector is maintained and further developed in Sweden. Research within COMPEL spans the entire battery value chain: materials research