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                programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or 
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                willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis 
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                distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and 
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                distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data management and 
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                areas. Qualifications To be eligible for a postdoc position, you must have a PhD in Computer Science, Automation, Electronics, Mechatronics, Industrial IT, or another relevant subject area. The PhD should 
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                FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics 
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                PhD positions in optically multiplexed soft robotic actuators The Robotic Materials group is looking for two postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable 
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                funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number HORIZON-ERC-2024-ADG Is the Job related to staff position within a Research Infrastructure? No Offer Description 
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                distributed computing or HPC environments. Additional Information: Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is 
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                to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with distributed computing or HPC