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Field
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, significant coding experience (both Python and C/C++ or P4), and a record of working in a Linux environment and related scripting languages. How to apply Applications for this vacancy are to be made online via
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, bioinformatics, infectious disease epidemiology or a related discipline. Have experience with molecular biology and next-generation sequencing. Have strong computational skills (e.g. Linux, R, Python). An interest
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useful for scientific interpretation. - Unix/Linux: Expertise in Unix/Linux environments, including file system management, shell scripting (Bash), and the optimization of simulations on supercomputer
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interfacial reaction mechanisms demonstrated proficiency in DFT and at least one major electronic-structure package (for example VASP, Quantum ESPRESSO, CP2K, GPAW or equivalent) strong Python, ASE, Linux/HPC
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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potentials or force fields (for example MACE, NequIP, DeePMD). ● Experience running scientific calculations on Linux-based high-performance computing clusters, including scripting or workflow automation
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computing tools in a Linux or Windows environment. Experience with scientific data visualization and preparation of figures for presentations or publications. Graphic design experience and the ability
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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, environmental engineering, or a related field. Experience in numerical hydrologic models and land surface models. Experience with Linux on cluster and/or high-performance computing environments. Experience
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, biostatistics, computational genomics, longitudinal data analysis, or a related quantitative field; proficiency in R and/or Python and experience working in Unix/Linux computing environments; experience managing