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Field
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advancing both technology and manufacturing readiness levels. These PIC-based solutions are expected to support the transition from complex optical laboratory setups towards more scalable and deployable
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programming environment Experience working with complex or high-dimensional health data Demonstrated ability to communicate scientific findings through manuscripts, presentations, or other scholarly products
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techniques for matter wave interferometry. Our current investigations cover aspects of matter wave interferometry, quantum synchronization, and an exploration of computational complexity versus robustness
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oncologic paradigms. Supported by in-house computational biologists and top-tier institutional core facilities, your primary mandate will be high-level hypothesis generation, designing and executing complex
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. Collaborating with non-technical faculty and explaining complex AI concepts in accessible terms. Interest and/or background in AI ethics, fairness, bias, or societal implications of AI. Building and creating
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prediction, prioritization and biological interpretation. The ideal candidate has a strong background in molecular biology, genetics, and biochemistry, and is familiar with complex experimental data generated
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to complex problems. Highly motivated and detail oriented with the ability to work independently and in close collaboration with team members. Energized by working as part of a highly functioning team and
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
the perirhinal cortex supports complex object, concept, and associative representations across different cognitive domains, including memory, perception, semantic cognition, concept learning, and familiarity-based
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need to be able to analyse data and interpret findings from your research, including large and complex datasets combining different modalities (in particular behavioral and neuro-cognitive methods, but
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- Strong programming skills in R, Python or similar languages - Intrinsic motivation to work on complex, real-world problems with societal relevance Nice to have: - Experience with spatio-temporal