50 phd-in-communication-engineering Postdoctoral positions at Technical University of Denmark
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unique dataset and generate real-world impact through science-based advice for universities, policymakers and innovation funders? At DTU’s Centre for Technology Entrepreneurship (DTU Entrepreneurship), we
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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glycoproteins essential for the health of mucosal surfaces. Our goal is to leverage cutting-edge mRNA technology to induce mucin overexpression in vivo, opening new therapeutic avenues for diseases linked
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you are excited about exchanging expertise with other group members from diverse backgrounds. communicate well in both written and spoken English. As a formal qualification, you must hold a PhD degree
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potential at the international level Independent problem-solving skills Excellent communication and language skills (English) Experience with collaborations and team-based work style As a formal qualification
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interdisciplinary teams towards a common goal. You are motivated by working in the intersection between applied science and the generation of new knowledge. In addition, you have: Good communication skills in written
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in working with environmental sampling at Danish utilities. Applicants can have a background in chemistry, environmental sciences and engineering, or related fields, who have practical experience from
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for experimental research within molecular biology, strain engineering, high throughput screening and fermentation at different scales. Responsibilities and qualifications Focus is on genetically engineered bacteria
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not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a team. Excellent communication skills in
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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