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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
related field. A strong candidate will have experience or interest in several of the following areas: Machine learning and deep learning; Natural language processing or neural machine translation; Computer
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-to-confidence set conversion' framework recently proposed by the PI (Principal Investigator). The models of interest include deep neural networks with multiple layers and non-linear activations, extending recent
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plus Proficiency in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research
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development, model hosting, deep learning, LLM fine-tuning experience (e.g., with huggingface transformers and parameter-efficient methods such as LoRA/QLoRA), model evaluation experience. (Please briefly
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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environment. Successful and rapid development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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to apply Website https://www.academictransfer.com/en/jobs/363316/11-phd-positions-in-the-excelle… Requirements Specific Requirements An outstanding, motivated, enthusiastic, curiosity-driven researcher. Deep
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strong interest in foundational research in the above-mentioned research areas strong programming skills, preferably in Python, including experience with deep learning frameworks (e.g., PyTorch, TensorFlow
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of