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motivated individual to pursue a PhD in the area of reliable conversational domain-specific data exploration and analysis. The prospect PhD student will join a research team in KTH led by Professor Aristides
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, or English, a summary of max 1,000 words must be included, outlining method, theory, and results/analysis. A CV in Swedish or English showing eligibility for PhD studies in Sociology of Law. Degree
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collaborations across research groups and external partners in academia and industry. The PhD student will join a vibrant scientific community dedicated to developing sustainable, data-driven, and ethically
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industry. The PhD student will join a vibrant scientific community dedicated to developing sustainable, data-driven, and ethically responsible breeding strategies for modern animal production systems. Read
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experience in large-scale quantitative and functional proteomics Experience in sample preparation of cells for quantitative proteomics Strong skills in quantitative proteomics data analysis using R, as
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systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description This PhD project focuses on advancing
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proteomics Strong skills in quantitative proteomics data analysis using R, as well as knowledge in bioinformatics Solid understanding of mitochondrial functions and cellular metabolism Experience in cell
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about the departments is available at: Project description This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems
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). skills in advanced microscopic techniques and/or flow cytometry, including data analysis. Further information The position is a fixed term position for 6 months at 100 % per cent of full time. Starting
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biology methods and bioinformatics methods advanced cell culture, RT-PCR, immunostaining, microscopy, flow cytometry, analysis of single cell and bulk omics sequencing data as well as mathematic modeling