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funding. Candidate Requirements The successful candidate will require a proven track record in research fieldwork and historical methodology. In its assessment, the selection committee will prioritise
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microchannel to reveal how acoustic streaming and the acoustic radiation force can be utilised to manipulate microscale objects, cells and nanoparticles. Based on acoustofluidic principles we develop medical
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the optimisation strategies to enhance the performance of complex machine learning models such as deep learning model and large language model. Applicants need to have strong background and track records of research
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are seeking outstanding early-career researchers who meet the following criteria: Educational Background: Ph.D. degree from prestigious university. Research Excellence: Proven track record of impactful research
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and Social Change, will collaborate to jointly reach the objectives of the project. You are expected to closely collaborate with other researchers both within computer science and other fields, in
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data
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to droughts and heatwaves, which in turn feedback to the distribution of species, modulating the long-term ecosystem resilience to environmental changes. In this framework, the objectives of your research
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-based recreation (OFR): assessment and valuation for forest ecosystems under natural and human stress (-link-).The objectives of this research topic are to (1) define an improved and tailored evaluation
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measurements are sensitive to the dielectric constant and object geometry. So far, we have used this technology to estimate the vegetation water content (VWC), provide information on the vegetation structure
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the carbon and water trade-offs of forests under different environmental conditions. This particular project aims at the following research objectives: O1: Understanding the impact of drought