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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
solution-oriented environment Salary according to the usual hourly rates for student/ scientific assistants in Brandenburg Access to HPC Flexible working hours Possibility of remote work a collegial and open
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the following reference in the subject: “REF:HPCMARINE_25” Where to apply E-mail workwithus@cesga.es Requirements Additional Information Website for additional job details https://www.hipeac.net/jobs/15181/hpc
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European strategy for its technological independence and autonomy from other regions. Thus, Europe has enabled multiple funding mechanisms around RISC-V in HPC, and BSC has been leading many of them
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; Familiarity with cloud computing, HPC, or life science software development; Additional European language skills. This role is ideal for An experienced programme manage/coordinator with a strong grounding in
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
. Access to HPC (https://escience.sdu.dk/index.php/ucloud ) and extensive bulk / sc / sp omic datasets. A unique position working at the intersection of microRNA and mRNA target discovery and innovation
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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. Understanding of signal transduction networks, kinase–substrate relationships, and phosphoproteomics information resources (e.g., PhosphoSitePlus, KinHub). Experience with cloud or HPC environments for large
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), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the Flu crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI About
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: 119151-en_US IT@JH Research Computing is seeking an IT Manager, Research Computing who drives service delivery and operations for advanced High-Performance Computing (HPC) platforms, AI research
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systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC infrastructure