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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and
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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
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candidate who has A PhD in plant science, agroecology, microbiology, environmental sciences, molecular/chemical ecology, or similar Collaborative skills and ability to demonstrate commitment in teams
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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moss will be harvested with the purpose of sphagnum restoration at other sites or as growing media in horticultural production. The main focus of your position will be chamber measurements and data
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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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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and Production Engineering invites you to apply for a 20-month postdoc position. Expected start date and duration of employment This is a 20-month position from May 1st 2026 or as soon possible. Job
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candidate who has A PhD in microbial ecology, environmental microbiology or similar Research experience in molecular biology, metagenomics and biogeochemistry Collaborative skills and ability to demonstrate
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong