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, optically-pumped magnetometers, to understand how early learning develops. You will address how caregivers’ behaviour influences infants’ learning and how early differences in learning predict language and
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with TMS at specific oscillatory states and measure the subsequent network response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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reused to answer different kinds of questions. This PhD position focuses on developing a semantic model of geodata sources of a given map repository in terms of the questions they can answer, their
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many ways maps can be reused to answer different kinds of questions. This PhD position focuses on developing a method for parsing and formalising geo-analytical questions. You will explore hybrid AI
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early differences in learning predict language and social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support
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to regenerative agriculture, including biological indicators that are often neglected in soil health monitoring programs. You will be part of a team of PhDs focusing on modeling soil processes at different scales
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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tools and programming languages such as R or Python; an interest in working together with people from the food industry; you are an ambitious and highly motivated scientist; you are a creative researcher
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with Python, PyTorch, Hugging face Transformers library and works efficiently with them. Conditions of employment We offer in accordance with the collective bargaining agreement for Dutch universities: A