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, and ERC Consolidator grant (DETOXPEST) and aims to establish a public, cross-species “pan-terminome” knowledge base of plant proteoforms and to uncover how conserved proteolytic processing
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and in writing. Your research activities will contribute to improved knowledge in the scientific field, in particular by presenting your results in scientific journals and at international conferences
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skills in Matlab and/or Python. Meritorious qualifications Experience in medical image analysis. Knowledge of or practical experience with generative models, anomaly detection, and image and signal
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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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aims to contribute new knowledge about the emerging normative foundations of society in the wake of today’s divergent mobilizations. The project is led by Professor Mia Liinason. Read more about the
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Collaborative abilities Independence Well-organized / structured Have a professional approach Analyze and work with complex issues Good knowledge of English and good presentation skills in text as it is required
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Job related to staff position within a Research Infrastructure? No Offer Description Join a vibrant research group to advance knowledge in the field of electrocatalysis using the world's most brilliant
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bioelectronics. The goal of your project will be to advance our knowledge about the electrical and mechanical properties of this exciting class of materials. You will work closely with several PhD students and
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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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modeling builds on agent-based modeling but focuses on relations, not agents, and emphasizes the role of the researchers and their tools in constituting the model and the generated knowledge (Schlüter et al