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Field
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computing environments and modern software development practices, including version control and collaborative software development. Excellent written and verbal communication skills in English. Ability
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. Excellent written and spoken English. ADDITIONAL SKILL Experience with markerless motion capture, AI-based pose estimation, and multi-camera acquisition systems. Knowledge of computer vision, 3D
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tabular foundation models or foundation models for structured data is particularly relevant. A strong understanding of modern deep-learning architectures and training strategies, and experience designing
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modern Italian, German and French. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your
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and spoken English. Knowledge of Czech is not required. Experience in one or more of the following areas would be an advantage: gravitational-wave modelling; numerical relativity; cosmological data
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the contract and other relevant documents. PI SAS provides an opportunity to develop your scientific career in a dynamic and modern research environment. The topic is connected to advanced polymer synthesis
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are equipped with modern facilities – including a planned upgrade of existing NMR facilities - for all aspects of the proposed research. We have a strong community of research groups in chemistry, and
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degree. This eligibility requirement must be met no later than the time the employment decision is made Strong written and verbal communication skills in English Documented experience from modern LC-MS
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with demonstrated expertise in both areas are especially competitive. Experience with modern bacterial genetics workflows, including cloning, genome editing, Clustered Regularly Interspaced Short
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
experience with a modern deep-learning framework such as PyTorch or TensorFlow. Experience developing, training, and evaluating machine-learning models using complex biomedical, imaging, or other high