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for a talented, motivated and enthusiastic researcher. Analytical skills, initiative and creativity are highly desired. Ability to work in an interdisciplinary team and interested in collaborating with
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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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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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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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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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the kinetics of the relevant redox reactions on multiple electrode surfaces to unravel the relationship between chemical composition and performance, using a wide variety of electrochemical and analytical
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curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills to combine different microbiological disciplines, and thrive in an independent as
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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