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helping with the everyday operation and participating in various development projects at the Surface and Material branch. These projects can include design of new experiments/sample environments
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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electromagnetic processing. The work involves close cooperation across several departments. You will have access to a well-equipped experimental environment and be part of a collaborative team dedicated to creating
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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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, or any other area relevant for the postdoc project. -Knowledge of and skills in processing, analyzing and publishing flux data from closed-chamber measurements, as evidenced through relevant first-authored
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of organic phosphorus and other organic matter pools. In addition, the postdoc will study which factors control soil organic matter stoichiometry and the turnover of carbon, nitrogen and phosphorus
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on computer networking and distributed systems, computer security and privacy, and software engineering. Both research and education are conducted in close cooperation with international, national, and regional
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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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
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, Dev. Cell, 2007; Pandit et al., Development, 2015; Palaniappan et al., Development, 2018). The overall focus of this project is to understand the molecular mechanisms that control light- and opsin