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into protein databases (FASTA) to be used in mining raw Mass Spectrometry Proteomics data. The aim is to generate novel knowledge about the tumor biology, discover tumor antigens, and associate the findings with
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previous experience of the Spatial Transcriptomics method and data analysis as well as knowledge of the programming language R. The PhD student will be at KTH, Department of Gene Technology, SciLifeLab
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some other way within or outside the country, substantially equivalent knowledge Experience with Spatial Transcriptomics and Spatial metaTranscriptomics methods In addition to the above, there is also a
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within or outside the country, substantially equivalent knowledge In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a
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duties, up to a maximum of 20% of full-time. The person we need We are looking for a highly motivated individual with a passion for advancing scientific knowledge. The ideal candidate will possess a strong
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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About the workplace The Swedish Museum of Natural History is a government agency with a mandate to promote knowledge, research and interest in our world. It is a prominent research institution and
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frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology
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transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. The project aims to design data-driven
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About the workplace The Swedish Museum of Natural History is a government agency with a mandate to promote knowledge, research and interest in our world. It is a prominent research institution and