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, postdocs, and PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both
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work, including through writing peer-reviewed scientific article(s) The ideal candidate: Holds a PhD in a relevant field such as epidemiology, public health, biology, or a related discipline. Has proven
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resources Help foster a positive, inclusive, and collaborative group culture, supporting newcomers Communicate results in scientific publications and at international conferences Qualifications Must-have: PhD
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research and teaching environment and activities. We expect you to teach and supervise students at Bachelor’s and Master’s level and to carry out research of the highest international standards, which
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process
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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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Organoid model culturing Mouse model optimization and validation You will report to the Professor Bent Deleuran and Associate Professor Stinne Greisen Your competences You have academic qualifications at PhD
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, Belgium and Brazil. Your profile You have a PhD degree in chemistry, materials science, nanoscience, physics or biology, or a related subject and are interested in interdisciplinary research. The ideal
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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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the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date). Preferred research record in probability theory, analysis