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for quantitative proteomics. Strong skills in quantitative proteomics data analysis and knowledge of bioinformatics. We are looking for someone who is ambitious, motivated, and strongly driven to achieve
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(or equivalent) in Computer Science, Statistics, Ecology, Biology or Forestry. · Documented experience with application of deep learning and advanced statistical analysis and programming (e.g., R or Python
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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transcription initiation and termination during several years in growing spruces and pines that are exposed to stress. The project includes both wet lab work and bioinformatic analysis. With our research, we will
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well as at field stations. Our activities are strongly profiled towards research, data collection and analysis of fish, fisheries and aquatic ecosystems. The department is characterized by an extensive collaboration
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of Mathematics and Mathematical Statistics, alongside Computational Mathematics, Mathematical Statistics, and Analysis & Modelling. The Discrete Mathematics group consists of 10 faculty members whose research
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orally, in collaboration with the principal investigator and other members of the group. Your duties will include cell culture work, transcriptomic analysis, and a strong focus on various types
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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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, environmental analysis and education, we contribute knowledge about future sustainable land use and develop new solutions as a basis for decision-making in agriculture, forestry and the urban environment