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Job Description If you are an ambitious engineer who has already completed or are about to complete your PhD and would like to develop your career in enzyme immobilization and membrane-based
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courses, and co-supervise PhD and MSc students, which allows them to develop necessary skills for the next stages of their career. As a postdoc, you are expected to carry out high-quality research
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implement optimal experimental approaches for molecular scale quantum sensing Co-supervise and guide younger project students at the BSc, MSc and PhD level Maintain a thriving laboratory culture, ensuring
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
team members, including students. This collaboration involves sharing skills and contributing to problem-solving within the postdoc’s area of expertise. Your profile Applicants must have a PhD degree in
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of POLIMA, which currently consists of two Associate Professors, two Assistant Professors, a Lab Manager, a Center Administrator, and app 10-15 PhD students, postdocs and visiting scientists. Several
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Experience with and motivation for establishing new methods A PhD in life sciences or related An excellent research and publication track record Excellent English skills, written and spoken Desirable
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dissemination, work planning, collaboration, work/life balance etc. Qualifications The applicant is required to be fluent in English (written and spoken), hold a PhD degree within epidemiology and have a track
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the other “MathCrete” postdoc at DTU Construct . Publish results as journal articles and disseminate at scientific conferences. Possibility to co-supervise PhD/MSc/BSc students and contribute to teaching
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participate in funded research projects. Publish in high-impact scientific journals and conferences. Contribute to teaching activities within the section. Supervise PhD, Master, and Bachelor students in related
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to be fluent in English (written and spoken), hold a PhD degree within epidemiology and have a track-record within the field of observational research, preferably within pharmacoepidemiology. Experience