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- Maastricht University (UM); 27 Sep ’25 published
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working in a collaborative team environment across disciplines and cultures. Experience with software for data analytics is strongly preferred. Comfortable using digital platforms (e.g. Teams, Zoom, shared
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methods are employed to understand, predict, and change human behaviour. M-BIC tests and develops new theories of normal and abnormal neural information processing, with special attention to brain
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skills, for both academic and non-academic audiences. Enjoys working in a collaborative team environment across disciplines and cultures. Experience with software for data analytics is strongly preferred
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab
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of dissolved (DOM) and particulate organic matter (POM) by seagrasses and to what degree this contributes to carbon burial in these systems. This project will examine the role of microphytobenthos (MPB) in
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amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling phase locked loops. The group is a world leader and initiator of many