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of compute processors. Today’s AI compute processors have multi-Terabit/s interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic
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diverse research network spanning AI, computer science, mathematics, engineering, physics, and the life sciences. What we offer A structured three-year PhD program at the interface of AI and biomedical
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the international POLARIS doctoral training network; Access to network-wide training activities, secondments and transferable-skills development; A challenging and translational research project at the interface
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training activities, secondments and transferable-skills development; A challenging and translational research project at the interface of computational biomarker discovery, rare disease biology and clinical
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activities, secondments and transferable-skills development; A challenging and translational research project at the interface of in vivo neuroscience, rare disease biology and preclinical therapy development
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at the interface of basic and translational immunology • Ability to work independently and collaboratively in an international research environment • Good written and spoken English skills Please contact
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
to pioneering research at the interface of materials science, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based
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implementations and hardware-security countermeasures. Experience with hardware reverse engineering, debugging interfaces, or firmware analysis. Experience with machine learning, deep learning, signal processing
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at the interface of preclinical research, academic leukodystrophy expertise and patient-oriented therapy development. Your work will include: Performing longitudinal natural-history studies in
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at the interface of 2D materials, nanofabrication and quantum transport, this PhD offers the opportunity to build new device platforms for studying engineered quantum materials. You will develop devices that connect