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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 and develops new
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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qualification in a relevant subject e.g. bioinformatics, computer science or similar At least two years’ experience of working in a research environment with bioinformatics, genomics and interpretation of big
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and computational modeling to understand complex biological processes. Experience in statistical modeling, machine learning, or analysis of spatial or high-dimensional biological data is considered
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. The research is focused on catalysis, molecular recognition, structure and dynamics of complex molecular systems, and relationships between the presence of biomolecules and synthetic chemical compounds
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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computational simulation. Join us in uncovering how complex organisms maintain their multicellularity during growth and development. Eligibility To fulfil the general entry requirements for studies at third-cycle
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groundbreaking educational program in building technology. You are communicative and have the ability to explain complex matters in various ways, so that students with different prerequisites can acquire knowledge
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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combined formal verification and AI techniques. This involves creating advanced techniques of modeling complex autonomous systems that work in unpredictable environments, capturing unpredictability, and