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programming experience - Strong experience with UNIX/Linux - Familiarity with current hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in
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programming experience - Strong experience with UNIX/Linux - Familiarity with current hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
(Germany), which offers a world-leading research environment with access to the latest cutting-edge MRI hardware (incl. a Siemens 9.4T and Prisma 3T for humans as well as a 14.2T small animal system) and
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, programmable OpenFlow/P4 switches and AI‑Boxes for fast inference, together with NetFPGA/DAG hardware for sub‑millisecond failure detection and a Timeseries‑DB/Grafana monitoring platform for closed‑loop testing
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, ICML). Students receive regular guidance, research training, publication support, hardware/compute access and Intel engagement opportunities. Entry requirements: Relevant undergraduate or master’s degree
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of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
, preferentially in chemical, bio or process engineering, physics, chemistry or related disciplines with grades above average, have strong interest in hardware development, have strong communication skills and
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Experience in simulating fluid mechanics problems using, e.g., COMSOL Experience in interdisciplinary research Experience in designing and building hardware solutions, e.g. using Arduino, Raspberry Pi, 3D
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large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next