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sonography procedures. Ensures that appropriate anatomical, pathological and clinical conditions are accurately captured in the examination images. Uses proper patient positioning tools, devices, equipment
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members work in the department. The department has a strong connection with other departments of Linnaeus University and industrial and public partners. Subject area for the position: Computer and
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workflows and contribute open source tools for use in data analysis Present your results at international conferences, publish in peer-reviewed journals, and contribute to training activities within
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maintaining supplies for the university and assists the snow team equipment and tools. Supervises all daily activities of the groundskeeping, and maintenance department activities. Responsible for monitoring
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competence. The systems and tools you will work with include Arteria (https://github.com/arteria-project ), CheckQC (https://github.com/Molmed/checkQC ), nf-core pipelines (https://nf-co.re/ ), and Nextflow
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the use of computer systems. 3. One (1) year (12 months) of work experience comparable to the second level of this series. Knowledge, Skills and Abilities: • Excellent organizational skills and multi
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usage, and high-frequency, fine manipulation of tools. Essential physical demands include viewing computer monitors for extended periods, sitting or standing comfortably, and occasionally lifting/carrying
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the development of new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate
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developability assessment tools such as aggrescan, AbImmPred etc. - Strong knowledge of different machine learning architectures and training techniques is essential. - Proficiency with programming in Python and
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benefits package to all our employees at the University. To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package