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in bioinformatic metabolomics data analysis The Department of Chemistry – BMC conducts research and education in analytical chemistry, biochemistry and organic chemistry. More than 100 people
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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the field of biotechnology, focusing on microbial physiology, precision fermentation, synthetic biology, bioinformatics, enzymes, and enzymatic processes. The purpose of the research is often linked
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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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. Required qualifications: Knowledge of marine biology and marine ecological processes of relevance for North Sea and Baltic Sea ecosystems Demonstrated quantitative analytical skills Capacity to work with
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molecular dynamics; and enhanced-sampling free-energy methods (e.g., metadynamics and thermodynamic integration) to quantify adsorption and interfacial reaction processes. The research also includes method
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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processes with more realism in the project. The post will involve global modeling with this new climate model at Lund to investigate mechanisms for the effect from ice nucleating aerosols on clouds and
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have