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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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quantitative and statistical skills. Proficiency in English and excellent communication abilities are required. Motivation, initiative, and the capacity to work effectively in a team are essential. Prior
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. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching
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. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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that all relevant documents are in English. Assessment Candidates will be assessed based on the following criteria: formal qualification requirements for admission into the PhD program. Quality
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cementitious binders and concretes. You should speak fluent English. For further information about a specific subject see General curricula for the Board of the faculty of science and technology Further
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to benefit from third-cycle education and have strong skills in written and spoken English. Proficiency in Swedish is considered a merit. Selection criteria Among applicants who meet the general and specific
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implementation. About the project Reactive synthesis refers to the automatic generation of programs from high-level behavioral specifications. This approach plays an increasingly important role in areas such as
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues