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Field
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architecture and viral factories within infected cells. The project will combine virology and structural biology approaches and involves training in cellular cryogenic electron tomography (cryo-ET) data
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at low overpotentials, exhibit high turnover numbers (TONs) and frequencies (TOFs), and be based on earth- abundant transition metals. Despite challenges related to long-term stability, molecular catalysts
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning
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, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. RECETOX focuses on interdisciplinary research and education in
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activity and connectivity between nerve cells. MRI measurements can be affected by magnetic field inhomogeneities, resulting in geometric distortion and signal loss in the images. The aim of the project is
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/biochemistry with specific emphasis on molecular techniques. Desired experiences: Anaerobic microbiology. Single-cell sorting/sequencing. Bioinformatic analyses of microbial functional omic data. Knowledge of a
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physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum computing, including but not limited to spin
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strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow
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Git. You have a solid mathematical background in, for example, probability, statistics, calculus and linear algebra. You have good communication skills. You have a passion for improving the scientific
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-efficient drone platform components integrated with multi-modal sensors and nanogenerators’. Why is the proposed project relevant? Diverse drone platforms (ground/aerial/marine robotic vehicles