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Field
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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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with electronic structure methods (DFT, TD-DFT, BSE). Experience with scientific software integration and user-facing tools. Knowledge of HPC or parallel computing. Experience with machine learning in
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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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Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution
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Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission Requirements 1
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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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implementing a quality process You analyze and optimize the performance of codes (parallelization, GPU) on various architectures You ensure the deployment of codes on local, regional, or national computing
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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