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of genetically encoded agents, primarily for photoacoustic and fluorescence imaging.Using technologies like photoacoustic imaging, we seek to visualize small populations of labeled cells (e.g. immune cells) deep
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coordinating stem cell niche patterning with size, using maize as a model. The project combines quantitative imaging and developmental genetics with single cell and spatial transcriptomics, offering hands
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Group (EASE IRTG), Empowering Digital Media (EDM), the Research Training Group HEARAZ , the Research Training Group KD²School (KD²School), π³: Parameter Identification – Analysis, Algorithms
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sufficient to accelerate aging. Conversely, genetic or pharmacological enhancement of proteostasis network capacity can extend lifespan and suppresses age-related disease associated with protein misfolding
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validation of linear-scaling electronic-structure and optical-response methods. This includes the advancement and use of efficient algorithms, benchmarking against established approaches, and application
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proficient in English, and has practical experience in plant molecular biology, biochemistry, genetics, and microscopy. The successful applicant will benefit from: A stimulating, collaborative, and supportive
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, Bioinformatics, Biophysics, Genetics, Medical Biology, Translational Medicine, or related fields Students with excellent academic performance in their BSc and MSc studies and a clear interest in the above
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) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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their thesis work in the field of robotics; Strong programming skills in C++ and/or Python, as well as experience in implementing robot learning algorithms; A strong background in control theory, machine