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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description [Background of the recruitment and description
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techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
for identifying protective human gain-of-function gene variants. Supporting the group with (sc/sp) RNA-seq analysis and multi omics integration. Assist with implementation of paralleled microRNA/mRNA single-cell
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 24 days ago
for seven years at Tier 1 and $120,000 per year for five years at Tier 2, supporting ambitious, globally competitive research programs. Learn more: https://dal.peopleadmin.ca/postings/20089
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the official Campus France website: https://www.campusfrance.org/fr/le-programme-de-bourses-france-excellen… The candidate must have a foreign nationality (French nationals are not eligible) and must not be
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Deadline 15 Jan 2026 - 23:59 (UTC) Type of Contract To be defined Job Status Full-time Offer Starting Date 15 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, parallel execution, and distributed training or simulation workloads. Ensure high reliability of research workflows through robust monitoring, logging, and performance analysis systems. Guide the integration
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Green hydrogen has a central role in enabling the global
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place