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: We are looking for a dedicated candidate who is eager to learn new things and contribute valuable knowledge to society’s work on climate adaptation and the conservation of biodiversity. Applicants
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student is supposed to learn how forestry works and to conduct tasks independently. It will also create opportunities to connect research to applications in operational work. Qualifications: We are looking
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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to acquire the necessary skills to do so. The ability to work both independently and collaboratively within a diverse research team is critical. We highly value personal qualities such as strong problem
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of quantum chemical calculations (DFT) is advantageous. An interest in machine learning and AI-based methods, as well as programming skills in languages such as Python or MATLAB/Simulink, is beneficial
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to communicate in Swedish is considered an asset, but is not a requirement. If the candidate does not have proficiency in Swedish at the time of appointment, he/she is expected to acquire the language during
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if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you
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teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies