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proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
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remote sensing and phenomics). We are looking for an expert to help us extend our traditional methodological and application scope (genetics and genomics applied to agricultural production) to (agro
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project, and the SDU Philosophy Section, feel free to contact Associate Professor, Lasse Nielsen (lasseni@sdu.dk ). For questions related to CV, diplomas etc., please contact humfak-hr@sdu.dk Working
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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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including PhD students and postdocs. Also, a good sense of humor will be appreciated. Good English language skills will be required. The main criterion for selection will be the research potential
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DIAS Professor in Clinical Translational Psychiatry and Centre Leader for the Elite Centre for Cl...
atmosphere with a strong sense of community. Researchers affiliated with DIAS are expected to contribute actively to DIAS activities, mentor DIAS fellows, and engage in interdisciplinary collaborations across
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urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and
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knowledge about site-selection, restoration method development, monitoring and quantification of ecosystem services. Skills in GIS and remote sensing (drones or side-scan sonar) are an advantage. You hold a
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relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will engage in
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site