251 data-"https:" "https:" "https:" "https:" "https:" "UCL" PhD scholarships in Netherlands
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to accurately analyse and interpret research data and apply scientific literature. Strong communication skills in English, both spoken and written. This PhD position is part of an EU Doctoral Network, which
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3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental physical chemistry
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existing datasets and set up new studies, collecting samples from horses and performing laboratory experiments followed by data analysis. Techniques such as 16S rRNA sequencing, shotgun metagenomic
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studies the tropical infectious disease melioidosis. The results of her research lend credence to the premise that the disease is more prevalent in southern Africa than the official data suggest. Birnie is
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of Twente, in close collaboration with the MESA+ Institute for Nanotechnology and clinical and international partners. Information and application You can apply for this position until 31 March 2026 by
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quantitative data and qualitative fieldwork. Publishing research findings in peer-reviewed academic journals and presenting them at conferences. Collaborating with interdisciplinary researchers and engaging with
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-throughput phenotyping. You will develop novel methodologies, execute experiments, analyse data, and present your project results in the form of manuscripts and oral presentations. In addition to your research
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(such as data annotation, online content creation, or software testing) provide chances for social enterprises – i.e. mission-driven business that prioritize societal impact above maximizing profit, such as
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, or similar) for data analysis and modeling; Theoretical background and genuine interest in porous media processes, such as fluid flow, reactive transport, soil-fluid interactions, or geomechanics; Excellent
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering