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for this position is $60,000-$80,000 per annum + benefits. Postdoctoral Research Fellowship Translational Radiation Oncology The Analytics in Medical Sciences (AiMS) Institute https://aims.ok.ubc.ca
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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postdoc will: ● Start by familiarizing with existing research and methods for genome interpretation, such as the AI4GI lab previous publications (https://academic.oup.com/nar/article/50/3/e16/6430850?login
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: https://www.ucl.ac.uk/bartlett/energy/research/shipping and www.shippingandoceans.com UCL is part of a consortium of eight universities leading on the maritime component of TransiT, a new UK research hub
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mathematical and coding skills (Python); Experience with software kits for building, testing, and deploying AI models (e.g. Pytorch, TensorFlow); Knowledge of version control systems (GIT); Expertise in running
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
program. The aim is to use Python code to identify the machine learning profile used in order to identify good and bad practices. The objective of this position is to develop a Python parser, a tool for
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breadth and critical thinking is particularly valuable. Prior coding experience in Python or R, with willingness to learn Python-based tools. Demonstrated experience in community engagement and wide
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 15 hours ago
Investigator and the host institution. Successful applicants will conduct their research at the IDIBGI, Girona, Spain. Where to apply Website https://idibgi.org/en/treball/postdoctoral-fellowship-calls
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Proficiency in Python and experience with PyTorch, TensorFlow, or JAX Demonstrated ability to complete technical projects (thesis, publication, or GitHub repo) Familiarity with clinical data is helpful but not