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and youth studies, particularly health and risk behaviours of adolescents Familiarity with quantitative research methods Knowledge in statistics (descriptive and inferential analysis) Ability to work
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the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533519 Work type: Full-time Department: Centre for Information Technology in Education within the Faculty
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, technologies and systems. The ERAM group within TSL have great experience in SSbD, especially in combining different methods such as modeling mass flows analysis (MFA), Life cycle analysis (LCA) and semi
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and how these processes are affected by sex hormones. The doctoral student will use a variety of methodologies such as multi-color flow cytometry, RNA-seq, multiplex secretion analysis, high throughput
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analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages), Team player with excellent communication skills and collaborative working style
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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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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein
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that assess vulnerability; evaluate the effectiveness of adaptation and resilience-building interventions; analyse the political dynamics of environmental governance; or map the role of various actors (e.g
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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impacts of climate change? This PhD-project studies the politics of climate adaptation in the housing sector. PhD candidate We are looking for a PhD-candidate to be part of our project Just adapt