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studies, media studies, anthropology, and/or related disciplines; Familiarity with and keen interest in qualitative research methods; Independent thinking and critical analytical skills; Good collaboration
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with and keen interest in qualitative research methods; Independent thinking and critical analytical skills; Good collaboration skills and an ability to join interdisciplinary and intercultural academic
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling
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person with a genuine passion for both fundamental and applied research. You are curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills to combine
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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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to innovation and transition in action. Next to working in the context of the larger Ombion-CPBT project, as a PhD researcher you will have the opportunity to acquire and develop reflexive, participatory and
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“learning from nature” approach to explore how novel protein crops and their close relatives interact with neighbouring plants and the wider ecosystem, translating these insights into biodiversity-positive
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
support senior teachers and offer guidance. You teach qualitative research methods and general courses in research methods in the programs in which the Methodology and Statistics department is involved