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in the Department of Biological and Environmental Science focuses on three core areas: evolutionary biology, natural resources and environment, and biological nanoscience. The Department building
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implement state-of-the-art post-quantum cryptographic protocols and algorithms. Collaborate closely with top-tier European universities and industrial partners. Participate in project implementation and
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should have a doctoral degree in molecular biology, genomics, evolutionary biology or a related field while the doctoral candidate should have a master’s degree in a related field and a keen interest in
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identification algorithms that directly interface with physical hardware. We work closely with industry partners, and our research has led to several methods now used in commercial products. We are part of
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the development of innovative mathematical and computational algorithms. As our new Postdoctoral Researcher, your main responsibilities will include: developing and implementing advanced mathematical and
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collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training data to test environments, which is necessary to resolve distribution shifts, hidden confounders
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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
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in signal processing and control. Your role and goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms