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that support both organizational objectives and employee needs. The position includes the collection and analysis of qualitative and quantitative data, publication of scientific findings in international
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of biomass conversion technologies. Experience in programming with Python. Experience in Life Cycle Assessment. Experience in techno-economic analysis. Experience in scientific writing and communication
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Documented ability to work in Python Experience with machine-learning methods for record linkage and text analysis Documented experience with machine-learning methods for image-to-text transcription
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following methods: microscopy, epigenome analysis, molecular biology techniques or working with Arabidopsis. documented knowledge in a relevant field of research capacity for analytical and creative thinking
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, and Data-driven evolution and biodiversity. For more information, see https://www.scilifelab.se/data-driven/ddls-research-school/ . What do we offer? A creative and inspiring environment full
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, and apply workflows for long-read sequencing of HIV sequences, analysis of viral sequence diversity, and interpretation of data to connect basic research and clinical reality. The work will combine
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campus in Luleå, Skellefteå and we are also responsible for the research at Green Fuels in Piteå. Subject description Machine Elements comprises the analysis and optimisation of machine components and
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law and is considered grounds for legal action. Additional preferred qualifications: Prior experience with bioinformatics workflows and analysis of large-scale multi-omics datasets (e.g., RNA-seq
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communication skills in Swedish, Strong knowledge of electric power engineering, power electronics, and power system analysis, Experience of modelling, simulation, and experimental work. In an overall assessment
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methods for detailed analysis of different RNA molecules in blood samples and contribute to a new research field with strong clinical potential. What you will work on The successful candidate will be