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of Bioscience Engineering we are looking for a m/f/x Doctoral fellow within the Horizon Europe project "Risks from climate change and biodiversity loss across systems and scales: Leveraging the potential of tree
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are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group
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degree in Bioscience Engineering (Chemistry and Bioprocess Technology) or a Master in Sciences (Chemistry), or equivalent. You need to fulfill the criteria on the date of the start of the mandate. • You do
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Research, Computer Science, Business Engineering, Informatics, Mathematics, Physics, or equivalent. The degree requirements need to be fulfilled at the start of your appointment. For degrees awarded outside
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute
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extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting
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) for performing fundamental research in the frame of the project AI-CHECK funded by the International Graduate School of Science and Engineering (IGSSE). The candidate has the opportunity to pursue a doctoral
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scanning in forests; and (3) apply these methods to gain ecological insights in how forest structure is changing through time. This PhD project will be promoted by prof. Kim Calders, co-supervised by dr
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and
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of the research is to obtain a doctoral degree Job profile Master's degree in (bio)medical sciences, biomedical engineering or related discipline Experience and/or strong interest in preclinical research