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technologies Development and utilization of high throughput methods for characterizing and quantifying the physicochemical behavior of food macromolecules in complex matrices. Modelling and the use of machine
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instruments, with data obtained with DNA methods and data obtained with a Hirst trap. • Numerical models used by the group covers the particle dispersion model HYSPLIT in combination and the numerical models
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a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused on understanding biodiversity dynamics by
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science as an innovation capability, creating new methods, services and approaches that can be applied in collaboration with food companies, technology providers, public organisations and other stakeholders
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University Qualification requirements Applicants should hold a PhD or equivalent academic qualifications. Formalities Faculty of Arts refers to the Ministerial Order on the Appointment of Academic Staff
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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already have used data-driven computational methods to model cognitive or behavioural change in any substantive domain, that would be ideal. Experience specifically with research on consumers or citizens
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scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD
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team, Aarhus University and MAX IV. Depending on the candidate’s interests and expertise, research activities may include studies of functional materials, advanced crystallographic methods, automated and
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), Comparative methods, GenAI skills. Key criteria for the assessment of applicants Professional qualifications relevant to the PhD project Relevant work experience Publications The grade point average achieved