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to develop international networks as well as contacts with stakeholders. We offer a vibrant research environment at the Department of Ecology with a well-structured PhD education. If you find the project
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Important for this Position: Practical experience handling large Swedish national registers (population-wide data). Documented expertise in R or equivalent statistical software. Strong experience with SCCS
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. Application deadline is May 19, 2025. Project Description The Internet is enabled by a network of silica fibers with a step-index profile. Since the invention of the optical fiber 50 years ago, its design has
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program (Data-Driven Life Science) with focus on precision medicine. Access to top-level infrastructure, a new therapy development initiative for brain diseases (CNSx3), and a strong network spanning
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of cancer cells. The models are trained on high-throughput datasets, including metabolomics, proteomics, and transcriptomics, and constrained to align with the cell’s molecular networks. This allows us to
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communicate scientific results and knowledge orally as well as in written form within existing and new networks. This includes academia, industry and society at large. The research results will be presented
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working on questions of broadened participation in STEM education. There are ample possibilities for collaborations and networking with national and international researchers in the field. Main
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resolution. This knowledge will enable defining strategies to direct the degradation of these pollutants to harmless transformation products. Mechanistic understanding of the dynamic transformation of complex
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learning, deep learning and relevant software framework (R and Python) is highly desired. Very good oral and written communication skills in English are required. Emphasis will also be given on personal
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area “statistics to serve society” which focuses on developing statistical methods and software for the analysis of large and complex collections of data. The PhD student(s) is planned to be connected