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, multiplex secretion analysis, high throughput cell phenotype screening, in vitro cultures of WAT-resident cells as well as standard molecular biology techniques to functionally characterize the interaction
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, hydrology, environmental analysis, and physical geography. More information on the programme’s science can be found at Luval. Duties The project focuses on the investigation of zonal jets in planetary
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ability to work effectively both independently and in a team environment Merits: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and
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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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). Applications must include the following elements: Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above) . Translations into English or
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, mental illness, and care is (re)shaped within a digital context. The work duties include: Plan and carry out data collection using qualitative methods Plan and conduct ethnographic analysis of digital
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simulation, stakeholder mapping, and scenario analysis. The project is led by Professor Frank Dignum (main supervisor) and Dr. Jason Tucker. Requirements The general admission requirements for doctoral studies
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Forest ecology and 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