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during the project period in courses at DTU. Candidates should have a two-year master's degree and as a formal qualification, you must hold a PhD degree (or equivalent) preferably culturing basidiomycetes
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
to molecular biology and bioinformatics approaches. Collaboration with structural biologists is possible. Your profile Applicants should hold a PhD in Molecular Biology, Biochemistry, Cell Biology, Genomics
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cooperate on teaching Your profile We are searching for a highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar Research experience on process
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
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experimentalists and computational groups. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in data science, computer
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. Close collaboration with our neighboring Departments (Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics, iNano, Biosciences, Food, Agroecology, and Chemistry) is a
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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will benefit from Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge