36 phd-architecture-and-urbanism Postdoctoral positions at Aarhus University in Denmark
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the
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Anatolia and from the Tigris to the Mediterranean with a focus on visual culture. Qualifications Applicants must hold a PhD degree in Classical Archaeology or closely related disciplines and be able
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is important that you are able to work in a team and work for the overall goal in the project. Your profile The applicant should have demonstrated excellence and have a relevant PhD degree in chemical
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a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
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scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, or related disciplines. We
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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design and scaling) Qualifications/ About you Qualified individuals should have a PhD in, preferentially anaerobic, microbial sciences, microbial electrochemistry, or related bioengineering disciplines
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tasks will consist of: Independent research of high international quality, including publication. Guidance and supervision of Bachelor’s and Master's degree students, as well as supervision of PhD
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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