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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in
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(ELF). You will therefore collaborate intensively with international partners for support, and measurement analysis will be an integral part of your job. Your qualities You are an enthusiastic and
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position aims to assess the impact of drought conditions on water quality in urban areas. To this end, you will first review existing literature and water quality data to be able to map and quantify
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related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific
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Sciences. Knowledge of sensory and/or motor systems in the body is preferred. Experience and/or enthusiasm for public outreach. Research experience with human subjects. Training with data analysis on time
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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PhD position in Human-Centered AI for Accessibility Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 28
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its processing capabilities but also its adaptability, leveraging early developmental data and ecological validity. Infant data will be acquired in collaboration with Dr. Tessa Dekker (University
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exposure, victimisation, and perpetration based on survey and social media data. You will also study developmental processes, potential consequences, and the role of parents in these processes. Your job