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will be a part of our team. The main work will be sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users
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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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. Salary and employment benefits The university applies individual salaries. More information about employee benefits is available https://liu.se/en/work-at-liu/employee-benefits . Union representatives
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong