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for interdisciplinary collaboration Excellent communication and teamwork abilities Motivation to supervise and mentor students A track record in publication of high-quality research As a formal qualification, you must
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including experimental collection of mammary tissue from cows. The candidate should have a strong track-record in establishing cell and organoid cultures from tissue from animals including passaging and real
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The selected applicant will work in close collaboration with the project manager, Laura Gilliam, and a PhD student throughout the period of employment. This collaboration includes planning and conducting
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
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Job Description The Bioconversions group at DTU Chemical Engineering invites for applications for a position as a Post-Doctoral Researcher with a proven track record in the fields of anaerobic
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) This position centers on directed laboratory evolution of defined microbial communities under controlled bioelectrochemical conditions. You will run evolution experiments with constructed consortia, track
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with a PhD student already working on the project. In addition, the postdoc will be part of a vibrant and growing research environment present at the interdisciplinary nanoscience center at Aarhus
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academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it
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. Salary is according to the Danish pay schedule. Your qualifications Applicants are expected to hold (or be close to completing) a PhD in a field relevant to the project. According to the conditions of
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has: A PhD in translational and laboratory medicine within the field of IBD. Proven expertise in omics data analysis, including proteomics and metabolomics data (R/RStudio, multivariate and regression