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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 10 days ago
projects A modern, English-speaking structured PhD program Fully funded positions, no tuition costs and additional funding for scientific meetings and trainings Individual supervision and mentoring by
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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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to enable the demonstration of optically switched network for AI training computing clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on
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. The appointed candidate will participate in an international research team as part of the EU-funded Marie Skłodowska-Curie Actions (MSCA) Doctoral Network “Neuromorphic computing and signal processing training
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» Biochemistry Chemistry » Other Medical sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Oct 2026 - 23:59 (Europe/Vienna) Country Austria Type of
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. Please note that if you already hold a doctorate/PhD or are working towards obtaining a similar degree elsewhere, you will not be admitted to a doctoral programme at the UvA. This is what else we offer you
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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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Communication Technology (IIK) at NTNU has a vacancy for a PhD candidate in AI‑Driven & Self-healing MAC Control for Integrated Terrestrial-NTN 6G networks. The position is fully funded and will run for four
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projects, CEDLA coordinates education programs such as the BA Minor in Global Justice and the MA program Global Justice and Social Transformation. Through a community approach, the staff, postdocs, PhD and
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UKRI NetworkPlus for digital Research Technical Professionals, part of UKRI’s Digital Research Infrastructure programme. The network is led by Imperial College London with partner Universities