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Field
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. The candidate will assume technological leadership over the software solutions developed for the above tasks, as well as take on to supervision of PhD and master students on the same topics. Your profile A Ph.D
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leading experts worldwide. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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applications. Your profile Applicants should hold a PhD in Immunology, Microbiology, Neuroscience, or similar. Essential Experience and an international track record in neuroscience, microbiology, or immunology
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composition and modeling efforts to assist conservation professionals, NRCS personnel, and other stakeholders in adopting climate-smart feeding practices. Help organize a topical summit focused on feed
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. Aarhus – a vibrant university city by the sea, combining rich cultural life with easy access to nature. PhD in mathematics (completed or expected before start date). Preferred research record in
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determine ideal nano-composites for permanent magnets. In collaboration with Aarhus University, you will get to validate your modelling results against experiments. You will also get to supervise a PhD
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 14 September 2025 Apply now Join the BONSAI project
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The successful applicant will conduct original research in collaboration with Prof. Sukrit Ranjan and his group related to the composition and structure of planetary atmospheres, with emphasis on terrestrial