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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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description is available on the LCAU’s Website: https://lcau.mit.edu/positions Job Requirements REQUIRED: Master’s degree in architecture, urban design, urban planning, geography, or a related field; a minimum
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures. Knowledge in the field of ML security is desirable. Good Python skills, especially
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna M4000-7765 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN SPANISH
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 1 day ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication
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Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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Software Developer, Federated Research Data Repository, Lunaris, Information and Communications Tech
datasets promoting open research by developing FRDR-DFDR (https://www.frdr-dfdr.ca/) . FRDR addresses a longstanding gap in Canada’s digital research infrastructure by providing a platform through which
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simulation campaigns in the group's different projects. Manage computing resources to support the different simulation campaigns. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for