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infrastructures, research networks and support offices -Extensive training, family supportand continuing education opportunities To apply you must have a PhD or PhD equivalent, a strong publication record in peer
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. Network Training Program — More Than Just a PhD As a Doctoral Network funded by Marie Sklodowska-Curie Actions (MSCA-DN), FairCFD will offer to you a rich and engaging training experience, including Four
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collaborative, international network. Training program including research-specific and transferable skills courses. Active participation in workshops, conferences, and network-wide events to build professional
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about the lab at: https://mbzuai.ac.ae/study/faculty/natasa-przulj/ and https://przulj-lab.github.io/ Qualifications PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related
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Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD
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network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in
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LanguagesFRENCHLevelBasic Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Degree : PhD in computer science, machine learning, or computational biology We expect a
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programs – with focus on PhD schools in the Hamburg area (IMPRS, DASHH, PIER, …) Explore funding opportunities in education and acquire 3rd party funding Develop and implement a program to host undergraduate
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Neuromorphic Architecture for Low-Power Spiking Neural Networks. PhD thesis, Université Côte d’Azur, 2022. A. Abderrahmane et al. Event-based neuromorphic computing: A survey. Proceedings of the IEEE, 108(8
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(e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques