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and progresses? In this PhD project, you will use innovative data analysis approaches and unique, deeply phenotyped cohorts to investigate the complex relationship between dietary factors, metabolic
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applied to computer vision and image analysis. Analytical thinking and problem-structuring skills, including the ability to abstract complex systems, identify core research challenges, and develop
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or computational social science), showing affinity with network science (or complex networks / social network analysis); Good writing skills, demonstrated through a writing sample (typically the MSc thesis) to be
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this PhD project, you will combine fieldwork, laboratory work and data analysis: On the basis of a unique 26 years time-series of environmental, sediment and megafaunal benthic community data from AWI's
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, segmentation, classification and quantification tasks? What additional limitations arise for rare and ultra-rare diseases? The technical work will include analysis of medical imaging datasets and evaluation
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Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant
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that can subsequently be assembled into complex aerostructures using welding. This provides significant opportunities for more efficient and cost-effective aircraft manufacturing. However, welded composite
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herbivore and pollinator species Analyse complex ecological datasets, linking soil, plant and insect variables Co-supervise MSc students conducting thesis research within the project Publish your results in a
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measurements, uncertainty analysis, data acquisition, power converter testing, thermal modelling or calorimetry is an advantage. The ability to design complex experiments, integrate multiple sensor systems and
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carry out experimental work independently while actively collaborating with colleagues in an interdisciplinary team; approach complex research questions with curiosity, careful problem solving and