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(HPC) systems Background in statistical mechanics, thermodynamics, and molecular modeling To read more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here
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-generation sequencing analysis is a plus Expertise in AI/ML is a plus Experience with job submission systems/HPC is a plus Proficiency in English (oral and written) Excellent organisational skills and ability
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(OMOP CDM, FHIR) or metadata harmonisation Experience with ETL tools, workflow engines, or bigdata frameworks (e.g., Spark, NiFi, KNIME) Familiarity with containerisation (Docker) and HPC or GPU computing
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is 4 years. The PhD candidate will join COMPSOIL, a dynamic and international research environment, benefiting from the University's high-performance computing (HPC) infrastructure and opportunities
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skills in Python and/or R; experience with Linux/HPC environments is an advantage Experience with genomic data analysis, high-performance computing, GPU programming, or software development is a plus