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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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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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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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the department We seek a candidate with the following qualifications : Required: PhD in wildlife ecology, conservation biology, or a related field Experience with technology-assisted wildlife monitoring (e.g
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you will teach and supervise students at Bachelor’s, Master’s and PhD level and carry out research of the highest international standards in the fields covered by The TrygFonden’s Centre for Child
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on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional
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. You will report to the Associate Professor Martin Kristian Thomsen. Your competences You have academic qualifications at PhD level, for example within the following areas of molecular biology or
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be in close collaboration with our EUROfusion partners under the supervision of Xuping Zhang. Your profile Applicants should hold a PhD in Robotics with good experiences in dynamics and control
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opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development