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: Experience in environmental modeling, laboratory work involving trace analysis, radiochemical separation, or mass spectrometry (e.g., ICP-MS or AMS). Knowledge of programming languages or the use
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be