32 algorithm-development "https:" "Simons Foundation" Postdoctoral positions at Aarhus University in Denmark
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You will establish and develop functional screening pipelines to identify novel repressive chromatin factors, using genome-wide integrated transcriptional reporters as a quantitative readout of
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of research Field research experience, including planning, developing and execution of qualitative and quantitative Sensory & Consumer studies as documented by a Dissertation, participation in research projects
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their research agenda and approach to this topic in accordance with their broader research interests, expertise, and career development. The various tasks of the position are organized in continuous agreement with
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to develop OPMs for measuring fetal MEG into a robust technique and investigate the beginnings of sensory responses in the human brain. The project will involve close collaboration with Lars Henning Pedersen
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resonators. Expected start date and duration of employment This is a 2–year position from 1 August 2026 or as soon as possible. The aim of the project is to develop “nanoguitar” optomechanical resonators
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in planning and conducting molecular laboratory work
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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. Specifically, the postdoc will develop and test up-scaled microbial electrosynthesis reactors involving advanced electrochemistry, reactor design, and scaling approaches. Expected start date and duration of
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Monitoring and Conservation Genetics. Expected start date and duration of employment This is a 2–year position from 1 February 2026 or as soon possible. Job description The position will focus on developing
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and