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the complementarity of both types. Specifically, you’ll be performing the following tasks: You set up a simulation framework for both conventional photon-counting and hyperspectral X-ray detectors with high-Z sensors
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). Familiarity with high-performance computing (HPC) and software containers. Knowledge of cancer genomics or regulatory biology is a plus. Mindset: Ability to work independently while thriving in a
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sequencing data Familiarity with high-performance computing environments Track record of publications in peer-reviewed journals What we offer Cutting-edge infrastructure: state-of-the-art sequencing
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like TensorFlow, Keras, or PyTorch. Preferred Skills: Experience with Explainable AI (e.g., SHAP, Integrated Gradients). Familiarity with high-performance computing (HPC) and software containers
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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Qualification: The candidate should possess an Ph.D. degree or equivalent in Telecommunications and Computer Science Experience: The successful candidate should have proven experience (in terms of high-ranking
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regulation to neuronal function and circuits. State-of-the-Art Infrastructure: Access to advanced sequencing, imaging platforms, and high-performance GPU computing. Research Environment: An international
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-of-the-Art Infrastructure : Access to advanced sequencing, imaging platforms, and high-performance GPU computing. Research Environment : An international, collaborative, and stimulating research setting at a
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together to offer high-quality education to students and to carry out groundbreaking research in various areas of applied mathematics, computer science, and statistics. For an overview of the current
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is 4 years. The PhD candidate will join COMPSOIL, a dynamic and international research environment, benefiting from the University's high-performance computing (HPC) infrastructure and opportunities