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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 10 hours ago
systems research. The Department of Scientific Computing Core is looking for a Postdoc (f/m/d) GPGPU Computing. Your tasks # Research in GPU programming and (highly) parallel programming for HPC and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 10 hours ago
(highly) parallel programming for HPC and Scientific Computing # Active contribution to Open Source Scientific Community codes # Working with application field scientists from various fields and different
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parallelization strategies Experience with porting and optimization of parallel HPC software for modern architectures including GPUs Excellent knowledge of a variety of suitable computing languages (including C
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The Cushing Lab (https://cushinglab.caltech.edu/ ) seeks a
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studies. These pipelines must be capable of efficiently exploiting different types of parallelism, both at the level of a computing node (CPU and GPU) and at the level of a cluster of PCs. This environment
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), the Department of Neuroscience (Harvard/Cambridge) and the Martinos Center for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon
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of motif-recognizing proteins. In parallel, the candidate will develop computational approaches to identify indirect interactions based on prior biological knowledge and to infer higher-order complex
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and (bio)statistics, biology or medicine. Applicants must have a proven publication record. Prior experience with handling massively parallel sequencing data is considered an advantage. Postdocs will
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, distance, flow, or cut problems that are as well-suited as possible to dynamic, parallel, or distributed computing models. Requirements: Master's degree (or equivalent) in computer science or a related field
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, including parallelization, traceability, reporting and workflow orchestration through Nextflow. Collaborate with data/AI engineers, computational biologists, and experimental partners in both academia and