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incoming project requests and manage timelines and deliverables. Support experimental planning and study design, bridging spatial imaging and sequencing-based approaches. Help define optimal
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Knowledgeable RGB, thermal and hyperspectral camera’s Interest in image-based plant phenotyping Key personal characteristics You are enthusiastic and curious about scientific research You like learning new
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project: Optimizing high-resolution geophysical imaging with novel sensor platforms. You will devote a minimum of 90% of your assignment to scientific research as part of doctoral dissertation preparation
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digital design technologies, strategies and building processes. Position You will contribute to the University of Antwerp’s three core tasks: education (40%), research (40%) and services (20%). Your role
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development processes. You actively promote a culture of safety, sustainability, professionalism, and responsibility within the Department of Chemistry. Profile You hold a PhD in Chemistry, Chemical engineering
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are the consequences of remote work and always-on-connectivity on people's everyday lives? How do these affect social institutions such as the home, family, household and friendship, as well as broader processes
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the selection procedure. If you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be . If you have any questions about the job
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Chromatography applications (GC-MS), including sample preparation and customization of data processing workflows. Contribute to the day-to-day operations of the VIB Metabolomics Core. Conduct essential wet
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of writing skills and the use of generative AI, and what the effects are of using generative AI on text characteristics. You collect and analyze data (statistical processing). You report on the results of your
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Job description At least 90% of your assignment will be spent on academic research in preparation of a doctoral dissertation You will process and analyze functional magnetic resonance imaging data