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University, comprising a vibrant research and education environment. The department currently has 75 full time scientific staff, 95 PhD students and a yearly uptake of around 160 students housed in the same
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-tracing methodologies to analyze how business actors attempt to influence policymaking and public opinion. Gather and analyze archival data, media sources, policy documents, and corporate reports
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You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
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therapy and the development of novel cell therapies. The research group is based in the new Skou Building in the heart of the Aarhus University campus . For more information on the research group, please
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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will be using metabarcoding for the analysis of microbiomes from field and greenhouse experiments, and you will integrate data on microbiome composition, nematode infestation, plant performance, plant
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will be using metabarcoding for the analysis of microbiomes from field and greenhouse experiments, and you will integrate data on microbiome composition, nematode infestation, plant performance, plant
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental