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project The main objective of this PhD project is to explore and analyze bio-inspired neural architectures for early detection from spatio-temporal data under realistic sensing and computational constraints
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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compiler, code generation, computer architecture and machine learning would be beneficial an independent, target- and solution-driven work attitude inter- and multidisciplinary thinking an integrative and
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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teams. What you bring: You hold a PhD in bioinformatics, computational biology, or a related field with demonstrated expertise in RNAseq analysis (bulk and single-cell), RNA structure modeling (using
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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. Requirements The successful applicant will hold, or expect to obtain shortly, a PhD in Statistical Genomics, Genetic Epidemiology, Medical Statistics, Bioinformatics, or a related quantitative discipline
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Computing will publish commissioned high-impact Review, Perspective and Comment articles covering the full spectrum of computer science and its applications, including topics such as hardware, architecture
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for ensuring agentic AI solutions fitting the complexity of the problem, as well as matching the computational power available, ranging from high performance computers to ordinary laptops. You understand
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Computing will publish commissioned high-impact Review, Perspective and Comment articles covering the full spectrum of computer science and its applications, including topics such as hardware, architecture