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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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datasets (e.g. video, acoustics, clinical records) for predictive modelling and decision support. Proficiency in programming languages such as Python (and/or Java, C/C++), with hands-on experience using deep
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Application Deadline 20 Feb 2026 - 12:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The (Advanced Computing, Photonics, Electromagnetics) CPEresearch
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the preparation and development of the program application including budget planning, proposal development and editing. Running in parallel is appointment to an academic position per the process set out in
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Experience of MPI, OpenMP, and other parallel programming models Understanding of quantum many-body problem and tensor eigenvalue problem Excellent oral and written communication skills Ability to conduct
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Secihti call and go through a parallel application process. Please see the respective Secihti call here for further information on their selection process. The aim of the scholarship programme is to
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in the discipline of formation evaluation. The Cockrell School of Engineering at The University of Texas at Austin ranks among the nation’s top engineering schools and is the highest-ranked program in
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modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
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will be formulated for integration into a turbine-scale simulation framework developed in a parallel PhD project within RenewHydro. This position is financed through the Research Council of Norway and