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. The salary range for this position is $34.32 - $55.19 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu
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such as R or Python is a plus Strong data visualization and presentation skills to communicate insights effectively Excellent verbal and written communication skills to collaborate with diverse stakeholders
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hardware avanzadas basadas en FPGA. Intregación hardware/software utilizando C/C++, Python. Despliegue de sistemas empotrados utilizando Linux. Implementation of advanced FPGA-based hardware solutions
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to the investigatory activities of the laboratory. Writes simulation software in Python and C++ for protein structure simulations and use of Artificial Intelligence (AI) driven prediction tools. Generates and analyzes
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to develop and
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in Python and working in the Linux environment is required. The ability to work with large datasets and basic data management skills (GitHub) are also expected. The Candidate’s responsibilities will
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Posting Summary Logo Posting Number STA00009PO26 Job Family Information Technology Job Function IT Business Systems Analysis USC Market Title IT Business Analyst Link to USC Market Title https
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technologies (e.g., SQL, MongoDB, MySQL, PostgreSQL), and preferably with at least one or more data-relevant programming languages/utilities (e.g., HTML5, CSS3, JavaScript, Python, etc.) (Required) Education
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
January 2026.The fellowship is not renewable. It is mandatory to formalize applications with the submission of the following documents: B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos
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algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters