12 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "DIFFER" PhD positions at Aalborg University
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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of materials are fed into the machines at the same time. These may include virgin materials from different suppliers, recycled content of varying quality, colourants, stabilizers and other masterbatches
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and structure of healthy anatomy and detect any deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine
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inside a narrow, predefined research group. Instead, you will work across a small, complementary team that brings together different pieces of the puzzle: thermal systems and physical modelling advanced
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the interdisciplinary character of AI:X Collaborate Lab, you must be interested, ideally experienced with, in collaborating with people from a completely different research field and be curious about
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different grading system) for their Master’s Thesis/final exam. Please visit the website of the doctoral school for further information on admission requirements. Who we are Aalborg University Business
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at the intersection of genetics, epidemiology, and cardiovascular medicine. Using large-scale genetic and health registry data, you will investigate sex-specific differences in stroke risk among patients with atrial
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quantitative analysis of data from experiments and other sources. This may include studying how blind screening and structured interviews affect the representation of different groups in selection processes
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in a structured manner, and you thrive in an interdisciplinary environment where you collaborate with colleagues with different scientific backgrounds and with external partners. Qualification
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communicate clearly in English, both in writing and orally. You enjoy working in an interdisciplinary research environment, collaborating closely with colleagues from different scientific backgrounds, including