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Field
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) expect to appoint an experienced postdoctoral researcher in Fall 2025 (with flexible starting date). We are looking for an innovative experimentalist (m / w /d) with an established research track record
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. Implement Advanced Characterization Techniques to evaluate material performance and device reliability, integrating electronic control systems including DC-DC voltage boosting and maximum power point tracking
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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for practitioners. Your responsibilities include: Science-based research on the disarmament and non-proliferation of chemical weapons, e.g. on applications of artificial intelligence (AI). Monitoring, tracking and
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming
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further three years, subject to probation. The offer is aimed at early career researchers who already have a proven track record of excellence in research in the advertised field. German language courses
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techniques - the evolution of patterns of excitatory and inhibitory connectivity – by tracking dendritic spines and inhibitory synapses – and patterns of neuronal activity in the dorsal CA1 of live mice
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modeling. Central to its objectives is the development of methods for monitoring and culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large
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projects and deadlines Scientific track record Fluency in English; German proficiency or the willingness to learn is advantageous Familiarity with data-analysis / scripting tools (e.g. SCiLS Lab, METASPACE
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of excitatory and inhibitory connectivity – by tracking dendritic spines and inhibitory synapses – and patterns of neuronal activity in the dorsal CA1 of live mice performing navigation tasks. Key