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compliance standards and publish research in leading journals and conferences. Your competencies The successful candidate must hold a PhD in Electrical Engineering, Power Electronics and control with strong
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developing an independent research profile. Your profile The ideal candidate should preferably have: A PhD in landscape ecology, environmental science, geography, ecology, hydrology, environmental engineering
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
of complex mixtures, including experimental measurement techniques and/or computational methods. As a formal qualification, you must hold a PhD degree (or equivalent) in chemistry, chemical engineering
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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writing and presentations at conferences and workshops. Qualifications: PhD in Biomedical Engineering, Medical Robotics, Computer Science or a closely related field Strong background in medical image
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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demonstrations. • Contribute technical evidence for compliance standards and publish research in leading journals and conferences. Your competencies The successful candidate must hold a PhD in Electrical
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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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. Publish results in peer-reviewed journals and present findings at international conferences Required Qualifications PhD in proteomics, analytical chemistry, physical chemistry, or a closely related
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profile You have PhD in data science, with a background or familiarity with agricultural sciences, agroecology, or agronomy. You have proven expertise in applying data-science methods and principles