303 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
of the adverse effects of the space environment utilizing satellite observations, physics-based numerical models, machine learning, and data assimilation. Our research will help safely design and operate
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications and presentations; and
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, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning learning, and
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· Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities represented in our workforce
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development