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diverse battery types, designs, chemistries, and other variables is therefore essential. In view of this, computational thermodynamics can be a valuable tool to enhance the design of the process, reduce
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Council. The position offers a competitive salary and access to the comprehensive Norwegian welfare system. The lab is in Oslo, a vibrant, international city known for its high quality of life and stunning
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or readiness to use high-performance computing (HPC) environments (e.g., SLURM), workflow tools (Snakemake/Nextflow), and containers (Docker/Singularity). Hands-on experience with microbiology sampling (water
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-Performance Computing services. Ability to work with large datasets. Personal characteristics The successful candidate will work in a group with other professors and PhDs from different disciplines
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considered, depending on the needs of the Department and the competence of the applicant. There is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Ecology within three
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diverse research and study portfolio and interdisciplinary advantage to shape the future. Our social mission is to provide research-based education of high quality, perform artistic development and carry
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or performing analysis in Python and R is an advantage excellent oral and written communication skills in English skills in written and oral Norwegian/Swedish/German are of advantage Personal qualifications
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interdisciplinary advantage to shape the future. Our social mission is to provide research-based education of high quality, perform artistic development and carry out research of the highest international quality
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applicants can document their English capabilities by attaching their high school diploma. Fulfillment of the requirements for admission to the PhD program (next section) Desired skills include: Research
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are eligible for appointment. Fluent oral and written communication skills in English. Desired qualifications: Specific technologies that are commonly used in the group include Python, high-performance computing