496 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions in Denmark
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parameters, sediment and soil nutrients (especially carbon and phosphorus), and measurements of greenhouse gas dynamics. Experience in handling and analyzing large and continuous data sets covering a broad
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for working within an interdisciplinary research team Strong analytical skills and ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but
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participants and schools, coordinating data collection and managing ethics procedures Conducting school visits to engage directly with children, observe their behaviour and preferences, and collaborate with
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. Contact Further information may be obtained from Professor Xiangyun Du, Director of the UNESCO PBL Centre (xiangyun@plan.aau.dk). About Aalborg University Aalborg University provides outstanding research
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
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Lyngby Campus, Denmark, You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Yi Sun ( suyi@dtu.dk ). You can read more about DTU
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional