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. Such methods are founded on mathematical models and algorithms from the field of mathematical optimization. The dose planning is based on medical images and a treatment protocol, and it is evaluated by using key
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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platforms based on bosonic modes, also called CV modes, such as microwave harmonic oscillators used to process quantum information. The project provides a rare chance to develop new theoretical and
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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We are looking for a motivated summer intern to join a collaborative project aimed at improving the performance of superconducting qubits by optimizing noise filtering in dilution‑refrigerator
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to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application
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the time the employment decision is made Strong written and verbal communication skills in English Experience in processing and analyzing remote sensing data Experience in selecting, implementing, developing
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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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and separation processes, with strong expectations of high-impact publications and intellectual leadership. Who we are looking for The following requirements are mandatory: A doctoral degree or an
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experience with 3D image processing, volumetric data analysis, optimization methods, statistical modeling, or machine learning for scientific applications. Prior experience with cryo-EM software frameworks