11 condition-monitoring-machine-learning PhD positions at University of Antwerp in Belgium
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environments, as well as chemically and biologically active phases. The goal of the project is to gain fundamental insight into how the structure of these complex materials evolves under working conditions. To
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. You have a good knowledge of Python and machine learning. You have an excellent knowledge of English. Your research qualities are in line with the faculty and university research policies . You act with
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-type specific samples, state-of-the-art molecular biology techniques, multimodal data generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches
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(involving, e.g., computer programmers and data scientists, military startups, technology firms) and how it leads or has led to new and compounding forms of civilian harm in Ukraine and Gaza. It is co-led by
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currently no established genotype-phenotype correlation. Although there is no cure for this severe condition, several promising disease-modifying therapies may enter clinical trials in the coming years
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nanotubes. The most efficient catalysts will be characterized ex situ by electron microscopy and x-ray photoelectron spectroscopy, and under operating conditions by X-ray absorption spectroscopy (XANES and
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/ability, gender, social status, religion and medicine. A close reading of a representative selection of early modern ego-documents (the period and regional focus will be determined by the PhD student
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interest to acquire those in exercise physiology, metabolic & inflammatory regulation, molecular biology and biochemistry. Experience with basic molecular biology techniques, such as protein/mRNA extraction
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margins in breast cancer surgery, based on a novel Raman spectroscopic technology (IOARM-Raman) that will fit in the surgical work flow. To determine the potential improvement of resection margin status in
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obtained it by the time you start work. You can demonstrate excellent study results, or otherwise demonstrate your research competence. This is a condition of admissibility. Your teaching competences are in