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- 
                Field
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                (bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being 
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                hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale 
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                computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an 
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                infrastructures. To achieve this, the group at LAM—30 people strong, with HPC and ML expertise through CESAM and in close collaboration with ONERA and Bertin-ALPAO—is recruiting a postdoctoral researcher and a 
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                elements methods Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills 
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                purification and cryo-EM • Facilities: Glacios 200 kV Cryo-TEM, Phoenix HPC, Bragg Crystallography, Adelaide Proteomics Centre, plus 300 kV Titan Krios & Helios 5 UX cryo-FIBSEM via Monash Epigenetics & Genomics 
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                . Experience with 2D cross-sectional modelling (e.g. BECAS). Comfortable using Linux based HPC systems. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical 
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                including time-series or remote-sensing workflows; familiarity with Docker (or alternatives) and cloud/HPC is a plus. Experience with Git or a similar version control system for collaborative, reproducible 
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                address these in the cover letter): Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High-Performance Computing (HPC 
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                biology approaches. Experience with HPC or cloud computing environments for large datasets. Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions