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potential applications. In particular, we focus on evolutionary prediction: can we use a deeper understanding of evolvability to predict and, potentially, control evolutionary processes? Read more about our
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We are looking for a postdoctoral researcher to work on prediction of local animal-plant networks. About the position A postdoctoral researcher position is available in Mariana Braga's group
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expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells
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Conservation D. How plant cell shape and tissue structure help cells stick together E. DETERMINER - Determining appropriate monitoring frequency for phytoplankton F. Predicting bacterial protein expression
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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acceleration while maintaining low startup time and predictable latency. The overarching ambition is to create a fast, modular, and scalable edge-cloud platform that can support next-generation immersive
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prediction tools, such as AlphaFold2 or Rosetta, including multimeric complex prediction. You have experience of microbiome sequencing, genome mining, or metagenomic data analysis. You have worked with host
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loss in soils; 2) To measure whether nutrient losses to streams (nitrate and phosphate) and air (nitrous oxide) are higher for under drought conditions; and 3) To predict the ability of novel
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. Project description Characteristic research topics will focus on the following key areas Collaborative intelligent Autonomy - Predictive collaboration in shared workspaces - Distributed task and motion
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neglect critical lake-specific dynamics and feedback mechanisms that are essential for accurately predicting ecological responses and climate interactions. Lake physical dynamics is crucial for ecosystem