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PhD Project in Data Science and Geometric Models of Morphology and computer vision for detection and segmentation in plant images Department of Computer Science Faculty of SCIENCE University
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of adaptive radiation and associated key innovations in the evolution of freshwater diatoms. By integrating morphology, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine
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understanding of physical and social morphology. The work is carried out in close collaboration with project partners at the University of Wuppertal and the University of Groningen (NL). Your tasks will include
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We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods
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overheating models and inform retrofit strategies across different urban morphologies and building typologies for building decarbonisation. The role holder's key responsibilities include: Contribute to the work
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, and dr. Peter van der Sleen . PhD project 2 will assess the physiological and morphological impacts of fires on trees in order to understand how and why trees die or recover. The PhD candidate will
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of operating across the wide diversity of robot configurations found in aerial, ground, and aquatic domains. Today’s autonomy stacks remain highly specialized to each morphology, in sharp contrast
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Methods In a diverse range of taxa, individuals use enlarged horns, teeth, claws or other morphological weapons in contests against rivals. To understand how such weaponry has co-evolved with aggressive
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Description Understanding and modelling the spatio-temporal variability of radiative and thermal conditions in cities is essential for large-scale solar integration and climate-resilient planning
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD