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workstream and to build expertise in CAN chemistry, composite materials or processing. Candidates who wish to pursue a doctorate in parallel can do so through co-supervision with a partner institution. PhD
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will be informed about the results via email. The position will be open until filled. Founding Source: The project: „Dynamics of processes around compact stars” is funded by NCN (contract number: 2023
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direction is the generalization to parallel GPU computations. Task 4: Correctness evaluation of quantum communication systems and quantum protocols. This task will include approaches such as statistical model
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 16 days ago
Linux environments and the use of version control systems (Git). Familiarity with handling and processing large volumes of data, complex data structures, and workflow automation is desirable. Experience
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 9 hours ago
with the widely-used open-source Parallel Data Assimilation Framework (PDAF). The project provides excellent possibilities for collaborative work with European project partners as well as the forecasting
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direction is the generalization to parallel GPU computations. Task 4: Correctness evaluation of quantum communication systems and quantum protocols. This task will include approaches such as statistical model
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launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you Applicants should have a good honors PhD degree in wireless communications or AI and computer vision fields and a strong
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, and advanced sequencing technologies to generate large-scale datasets. In parallel, you will develop and apply computational pipelines that integrate sequence analysis, structural modeling, and
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of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage