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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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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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data, in particular single cell data and/or spatial data Experience in method development Experience working on servers and/or in a HPC environment Personal qualities We are looking for a researcher who
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consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required
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: 2025/09/30 11:59PM (posted 2025/03/29, listed until 2025/09/30) Position Description: Apply Position Description Postdoctoral Position in Lattice Gauge Theory at CCNU The Institute of Particle Physics
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obesity. Experience in (batch) HPC and/or cloud computing environments. Strong skills in R, Stata, and/or Python. Experience in working with Danish registers is an asset. An interest in conceiving and
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential