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) or reactive transport simulation codes (e.g., OpenFOAM, StarCCM+, PFlotran, TOUGHREACT, PHT3D etc.). Good programming skills in C/C++, Fortran, or Python. Knowledge and experience with HPCs. The work will be
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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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coastal hub. Read more about working at Chalmers and our benefits for employees. AIMLeNS offers: Access to state of the art HPC computing facilities (BerzeLiUs, Alvis) Mentorship for career development
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research, or a related field is a must • Proficiency in bioinformatics or clear motivation and prior exposure; HPC and metagenomics pipeline experience preferred • Experience with next-generation sequencing
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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models (e.g., CNNs, diffusion models, etc) Proficiency in Python Experience with HPC (CPU or GPU, with GPUs preferred) Related Skills and Other Requirements Ability to collaborate on the application of AI
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will play a pivotal role in advancing research in artificial intelligence (AI), energy-efficient computing, foundational mathematical models, high-performance computing (HPC), dimensionality reduction
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, Python, Bash, and other programming languages for data analysis and statistical modeling. Automated Workflows Experience: Proficient in using HPC, Git/GitHub, Nextflow, Snakemake, or Docker for efficient