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the university hospital and the regional hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and
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environment spanning chemical engineering, process systems, biotechnology, and Power-to-X technologies. Opportunities to collaborate closely with national and international academic partners, as
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controlled and field conditions. Candidate profile We seek a highly motivated team member with a genuine interest in insect science, machine learning, plant breeding, as well as the ability to manage their own
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decision-relevant outputs such as restoration and implementation scenarios. The postdoc will collaborate closely with experts in remote sensing, ecology, environmental science, and engineering while
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internal governance processes, including work package coordination, decision tracking, and follow-up actions across partners. Applicants must have: A PhD degree in a relevant field (e.g., quantum technology
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About us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS
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Do you have a passion and vision for developing new platforms to unleash the power of microbial metabolism and physiology to find scalable solutions for CO2 capture and conversion ? Come and be
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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research collaborations, experience with survey data collection in- and outside Denmark will be an advantage as well as the ability to write and communicate fluently in Danish and English Experience with
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related