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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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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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, 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
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infrastructure Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions and requires
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between chemistry and biochemistry. It is structured around two parallel PhD projects: one in chemistry (the position offered) and one in biochemistry, supervised by partner research team. This organization
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school, 1-2 workshops, 2 research pairs, and other parallel activities such as masterclasses, conferences at FRUMAM, etc.). It is organized alongside an environment program that invites collaborators, PhD
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
project strategy while helping coordinate efforts across multiple parallel projects. We are seeking candidates who thrive in a fast-paced, innovation-driven environment and who are excited to work across
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be completed during the 2026 and 2027 annual periods as specified in the project proposal. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/004389 Requirements Research
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-field code, written in the Cuda C language and parallelized on a single GPU (Graphical Processor Unit). A parallelization on multiple GPUs would be a welcome development during the thesis. Where to apply