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to the development of technology to create sustainable and circular solutions for products and services with applications in the environment, analysis, food, water, agriculture, medicine, and industrial biotechnology
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the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
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presenting research results orally. Good understanding of life cycle assessment (LCA), its methodology, and analysis using software (e.g., OpenLCA, SimaPro). Experience of laboratory and field sampling and
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climate change affects the mobility of radioactive contaminants in the ocean. The project focuses on the Baltic Sea and combines fieldwork, laboratory experiments, advanced radiochemical analysis, and
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. The research group, led by Professor Thoas Fioretos , consists of about ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems
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rare earth elements, as well as synthesis and characterization of new magnetic materials. The work is supervised by Professor Martin Sahlberg within the Inorganic Chemistry research program at
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). Applications must include the following elements: Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above) . Translations into English or
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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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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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. If the thesis is written in a language other than Swedish, Danish, Norwegian, or English, a summary of max 1,000 words must be included, outlining the methodology, theory, results/analysis. A CV in English