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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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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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management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R, Python, C etc. Field work
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, or English, a summary of max 1,000 words must be included, outlining method, theory, and results/analysis. A CV in Swedish or English showing eligibility for PhD studies in Sociology of Law. Degree
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summary of max 1,000 words must be included, outlining the methodology, theory, results/analysis. A CV in English demonstrating eligibility for doctoral studies in Sociology of Law. Degree certificates and