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Your job Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a
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Solid programming skills Fluency in both spoken and written English is mandatory Ideal Qualifications Experience with deep learning frameworks (such as JAX/PyTorch/TensorFlow) Strong background in modern
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
, data-science (e.g., neural networks, deep learning, autoencoders, GANs, active learning, etc.); · Knowledge of explainable AI and Knowledge Graphs with ontology (e.g., RDFS, OWL
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physics and strongly interacting systems? As a PhD student in theoretical nuclear physics, you will have the opportunity to explore deep questions about the origin and properties of atomic nuclei and the
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Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, and Tushar Sharma. 2024. Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement. ACM Trans. Softw. Eng
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Professor in Evolutionary Biophysics) Prof Dr Marcos Guimaraes (Associate Professor in Optospintronics) Project description: How do insects see the world? And what can we learn from animal eyes to develop new
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computer science (notably from the artificial intelligence and deep-learning field), requiring the collaboration of experts with different expertise. The ambition of the project resides in popularizing AI
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networking protocols and AI. Understanding of networking protocols and architectures Strong background in ML and NLP, with hands-on experience in LLMs (e.g., GPT, BERT, LLaMA). Proficiency in deep learning
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100%, Zurich, fixed-term The Engineering Geology Group (Prof. Dr Jordan Aaron, Geological Institute) is looking for a creative and motivated PhD candidate with a strong interest in the analysis
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, Data Science, or a related field. Strong background in Natural Language Processing (NLP), Machine Learning, or Explainable AI (XAI); Experience with deep learning frameworks (e.g., PyTorch, TensorFlow