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++, Rust, Python, or Haskell. Algorithms and their analysis. Simulation, modelling, or energy estimation of computing systems. Embedded, real-time, or robotic software. We expect you to write and speak
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Your Job The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials
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Congress of Embedded Real Time Systems (ERTS 2026) , 2026. ⟨10.82331/ERTS.2026.42⟩. ⟨hal-05513843⟩ [2] Eclipse Aidge. https://eclipse.dev/aidge/ [3] Projet DeepGreen - https://deepgreen.ai/ [4] Projet
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. About the research project The research project is funded by Swedish government and our industrial partner. The target of the research project is to develop an innovative embedded structure for a
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
engineering, or a closely related field, or to complete one before the start date. The core of the work is programming languages and software. You do not need experience with drones or embedded hardware
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | about 12 hours ago
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- compiler frameworks (LLVM, MLIR)
- embedded software development
- computer and accelerator architectures
- parallel and distributed computing
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This project is embedded within the collaborative research consortium SFB1361 (www.sfb1361.de -
as NO2 (nitrogen dioxide), CO (carbon monoxide), and SO2 (sulfur dioxide). The methodology will be embedded into the data assimilation workflow of the European Air pollution Dispersion-Inverse Model
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software involving machine learning to predict the occurrences of protein interaction sites (so called short linear motifs) in disordered protein regions and determine how they are created or modified
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<span lang="en">German Center for Neurodegenerative Diseases (DZNE)</span> | Bonn, Nordrhein-Westfalen | Germany | 4 days ago
in Cutting-Edge Research
The PhD project will be supervised by Dr. Dr. Petra Larsen, scientific lead of the ophthalmic epidemiology team. The research is embedded in the large