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-scale text and structured biomedical data; - Strong quantitative and analytical skills applied to observational or clinical datasets, and familiarity with techniques for representation learning and
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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of polyurethane materials in a self-driving laboratory. The successful candidate will work primarily on understanding the structure-property relationships of polymeric materials with a focus on optimization of
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to live, or to move, to the Twente region or within a short commute. Within the UT structure, your supervisor will be Prof.dr. M. Boon and co-supervisor Dr. Miles MacLeod. We are seeking a highly motivated
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structure/function relationships across multiple time and length scales with a specific focus on electrical double-layer formation and structure. What You Will Do: Develop scientific research hypotheses and
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pediatric tumours. We will employ a multidisciplinary approach, encompassing cell-based assays, profiling experiments (eg. high resolution mass spectrometry proteomics), and structure-based tools to target
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to translate clinical knowledge into structured, interactive learning experiences. • Strong interpersonal skills to work with educators, developers, and clinical partners. (e.g., BioInnovate, Health Innovation
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fundamental scientific challenges, including global cloud distributions, cloud microphysical properties and processes, dust aerosol distributions and impacts, and atmospheric boundary layer (ABL) structure and
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charge of the IMN experimental part of the ANR BiBOP project on electron microscopy and XPS spectroscopy under controlled illumination and environments. Perform structural, physicochemical, and optical
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sustainable forest management under climate change. Tree structural traits, including crown shape, branching patterns, and competition effects, strongly determine individual tree vitality, stand dynamics, and