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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work on cryo-electron tomography studies of regulatory synapses at the axon initial segment of neurons. Expected start date and duration of employment The starting date is 1st September 2026, or as soon
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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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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(2023)). Work at these facilities will be combined with research in our state of the art femtosecond laser labs. Your profile Applicants should hold a PhD in Physics or Chemistry or related field
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to interact and collaborate to develop robust ways to decode single molecule imaging data. Your profile The candidate should hold a PhD in biophysics, chemistry, nanoscience or related subjects and have a
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on two types of phenomena: (i) Charge Density Wave (CDW) order in magnetic, lanthanide-based MOFs and (ii) electride-like, quasiatomic electron states that reside in the pores of certain MOFs. The aim
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and future research in relation to the aims of the overall research project. A CV (maximum one page) A full list of publications A maximum of two publications Documentation of PhD Degree or equivalent
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developing an independent research profile. Your profile The ideal candidate should preferably have: A PhD in landscape ecology, environmental science, geography, ecology, hydrology, environmental engineering
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range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in