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Field
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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amounts of information and developed many different research methods to analyse these. Researchers at the center will focus on bringing together these unique types of data and methods to strengthen
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attacks targeting optical infrastructure vulnerabilities. Cutting-edge ML techniques for threat modeling and detection, as well as security-enhancing network optimization approaches will be developed. Main
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research will be conducted within the Human Evolution Program at
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equality and diversity as a strength and an asset. Your team The HIPPIE beamline is located at the 3 GeV ring. Together with SPECIES beamline, it forms the “APXPS group”, which is focussed on the development
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within the Department of Chemistry. The long-reaching scientific endeavor of the Saragovi Lab is to develop and apply a combined computational, Artificial Intelligence (AI) and high throughput experimental