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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing pipelines, we are interested
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optimize existing pipelines, we are interested in principled approaches, unconventional formulations, and ideas that may initially seem orthogonal to prevailing trends but deserve careful exploration, and
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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experience in development of user interfaces, code debugging and optimization is also meritorious. It is considered a merit to have previous experience within EU-funded collaborative international projects
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, testing, optimizing, benchmarking and validating custom machine learning algorithms for multi-dimensional remote sensing applications Good social skills, meaning that you enjoy collaborating with others in
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance for computational
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. Detailed description of the work duties, such as: Research and optimization of acoustic cell sorting. Designing and building of new acoustic cell separation modalities. Research within single cell proteomics
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–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral