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Application Deadline 11 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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or pathway inference tools Experience working in high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open
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high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open science — sharing code, data and reproducible
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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the Rutgers High Performance Computing infrastructure. The results of the research will be submitted for publication in a scientific journal. Preferred Qualifications Equipment Utilized Physical Demands and
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, and microscopy/imaging. A qualified candidate will be capable of working independently to perform lab work in this area, but also manages, trains, and schedules hourly student workers and undergraduate
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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reactions to specific sounds. The funding research program (REAM) is focused on advancing scientific breakthroughs and end suffering from misophonia and offers unique opportunity to discuss outcomes
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energy into acoustic waves, which can then be used to generate electricity or manage heat at the microscale. The goal is to improve the performance, efficiency and scalability of these microscale systems