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-disciplinary team. Our research sits at the cutting edge of regenerative medicine and neurobiology, utilizing state-of-the-art human induced pluripotent stem cell (hiPSC) models, 3D tissue engineering, and
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within the project Next-Generation Latent Variable Models for Social Data Science. The scholarships are full-time for two years with start date 01 01 2027, or by agreement. Application deadline: November 4
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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biogenic particles; the effects of fronts, eddies, upwelling, and other mesoscale processes on biological communities; applications of remote sensing integrated with in situ observations, numerical modeling
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estimation using data-driven dithering Subspace and DOA estimation under coarse quantization Preprint versions can be found on Arxiv. These works are representative for the type of mathematics involved
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development. Job requirements We are looking for a highly motivated and independent postdoctoral researcher with a strong interest in multiscale modelling. The candidate should meet the following requirements
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responses using molecular biology, immunology, cell culture techniques and animal models. Job Description: Key Roles and Responsibilities: Perform research with undergraduate/graduate trainees and research
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings
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algorithms and neural network models, drawing on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning. The successful candidate will contribute