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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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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently
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-maturing sweetpotato clones under short-day (10 hrs) and long-day (16 hrs) conditions in climate-controlled growth chamber to measure the physiological response and to elucidate the genetic response pathways
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at least one of the areas of data privacy, machine learning is required. A successful candidate is expected to have a scientific and result-oriented approach to your work. A very good command of
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to physical conditions and biological activity, using video recordings from both reef sites and comparable control areas. Within this position as post-doc you will be responsible for developing tools
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, mapping controls for risk mitigation, and managing tensions across multiple dimensions (e.g., human rights, privacy, security, fairness, robustness). The project also aims to co-create AI literacy materials
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studying how different factors, related to inflammation, impact the expression of SabA. We apply genetic, molecular biological and biochemical approaches to analyze the molecular mechanisms that control
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types of cell-matrix adhesion complexes control stem cell pluripotency and differentiation. The project will involve the development of synthetic DNA nanostructures that measure and selectively perturb
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control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities
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. The project also includes laboratory controlled experimental studies of the MeHg photodegradation process, conducted to improve models. Your profile Successful candidates will have a PhD in (bio)geochemistry