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. This position is funded by the Danish Research Council Project 1 (DRC-1), which aims to address fundamental problems in geometric singular perturbation theory within the setting of slow-fast analytic vector
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the harmful effects of deepfakes on ordinary people. You will draw on methods from psychology, linguistics, data science, and computer science, such as behavioural analytics, neuroimaging, face and voice
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with chemoreception and sensory biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data
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laboratory skills, spanning analytical methods, materials synthesis, materials characterisation and electrochemical performance tests. The materials characterisation will include DEMS, ICP-MS/OES, GC, MS, XRD
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have strong analytical skills. Preferably, you have experience with neuroimaging (MRI or EEG) data acquisition and analysis. We offer We will give you a temporary employment contract (1.0 FTE) of 1.5
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is highly desirable. The candidate should have good analytical skills as well as good communication skills in English. You should have completed a two-year master's degree (120 ECTS points) in
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
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several processing units with variable memory, can be profiled to pool the resources. The analytical systems, developed on data collected by onboard sensors and software triggers, can assist the operating
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Planck School of Photonics or the Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The PhD student will work on novel AI-aided data analytics, especially
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage