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to its activities, see https://csd.ens.psl.eu The Laplace chair aims at recruiting outstanding candidates in all areas of data sciences including theoretical statistics, machine learning, deep learning
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. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R) are required
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Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep
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applicant must have a Ph.D. in computer science, and at least 5 years of post-doctoral research experience. Candidates with specific experience in machine learning methods such Deep Learning will be strongly
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-speed networking, and storage systems. Additionally, this role presents exciting opportunities to advance AI-driven research, integrating cutting-edge AI-optimised hardware, deep learning accelerators
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or professional) with: -- 2.1. Machine/Deep learning techniques -- 2.2. Data management/curation, analysis, processing and exploitation -- 2.3. Cryptography -- 2.4. US DOD high performance computing (HPC) clusters
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deep learning, optimisation, sampling. Good coding skills for numerical simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME
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programs that demonstrate impact and accountability. Your efforts will acquire and retain alumni, staff, corporate partners, and community donors through strategic marketing approaches and compelling grant
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. Experience in deep learning and image analysis is strongly preferred. Qualifications Required Qualifications: PhD in biotechnology, biomedical engineering, or related area, with one or more years of
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Want a career with a deep sense of purpose while working with the support of a highly skilled, dedicated and compassionate interdisciplinary team? Utilize and learn skilled nursing care and see the