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and key responsibilities: • Conduct high-quality research in the field of Side-Channel Analysis and Cryptographic Engineering, resulting in academic publications in peer-reviewed international
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the development of more robust ferromagnetic semiconductors. Execute inorganic synthesis of new materials following an original hypothesis – atomic intermixing engineering – and characterize their structural
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quality. Simultaneously, numerous contemporary data quality and data cleansing solutions harness the power of AI technology. Consequently, data quality has emerged as a focal point of interest within
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Neuroscience or a closely related field; a MSc in mathematics, physics, engineering or related topics is also possible if the candidate can demonstrate sufficient background in neuroscience; • strong
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. The following qualifications are essential: a Master’s degree or equivalent in Sociology, or in the adjacent Social Sciences such as Anthropology and Science & Technology Studies. The degree must have been
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NWO-M2 grant. If you enjoy working in an interdisciplinary research team and are eager to contribute to the understanding of host-microbe interactions, then the Microbiome Engineering Group, which is
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about bioanalytical chemistry, and advanced separation technology, MS hyphenated methods, and are you looking for a PhD position? Would you like to work in a multidisciplinary team developing novel LC-MS
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Do you enjoy solving challenging machine learning problems on complex real-world data, and are you interested in the fintech (financial technology) domain? The AMLab group at the university
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contrasting values? Do you have affinity, interest, or experience with ethnographic research on animal farms? Are you familiar with or curious about Anthropology and Science and Technology Studies (STS), and
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adequate interventions. From a computational perspective, this "reverse engineering" pursuit can be supported by several lines of research. Two alternative directions can be investigated through this PhD