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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
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demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and algorithms, ideally in the healthcare
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closely with researchers as you co-design solutions that will enable the development & operation of new algorithms and software to solve leading-edge research problems. You should apply if You will find
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researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want
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stakeholders, both internal and external. This will involve managing multiple communications channels and planning, creating and distributing high quality content to promote the Hub’s activities and impact. This
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Interpersonal and communication skills with demonstrated ability to work within a geographically distributed networks of collaboration Proven experience in developing and implementing machine learning models and
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and distributing high quality content to promote the Hub’s activities and impact. This post holder will develop and implement effective communications and engagement strategies that align with the Hub’s
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/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Machine Learning libraries such as Tensorflow or PyTorch Serial and parallel
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. You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. An excellent scientific track record proven
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is concerned with the mathematical problem of comparing and interpolating distributions of mass, for example probability distributions. The concept has lately gained increasing interest from