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also provide shared office space, and a laptop computer. Further information can be found at https://piirs.princeton.edu/funding-fellowships/piirs-postdoctoral-fellows . This position is subject to the
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scholars, communication scholars, digital humanities and computer scientists. Experience with organising workshops, lecture series, and similar events. A PhD degree in Law, Political science, Information
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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quantitative modeling using R and/or Python. Experience with PK-modeling within NONMEM, R or Python environments. Strong general computer skills, with the ability to quickly master and implement innovative ML/AI
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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training and a significant track record in one of the following areas: -computational biology -computer science -electrical or computer engineering -genomics -neuroscience -population genetics / genomics
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
, Computer Vision, AI, Medical Imaging, or a related discipline. ● At least 3 years of research experience (post-PhD), ideally in an academic or public research setting. ● Solid grasp of deep learning theory
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control architectures for large-scale quantum processors. The hosting team at Institut Néel is QuantECA (Quantum Electronic Circuits Alps), which form part of the QUEST department. Institut NÉEL is a CNRS
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research plans and directions; Natural curiosity and a passion for new subjects and research areas; Proficiency in computer programming and data analysis. You should also have good interpersonal and
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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists