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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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culturing, etc.) Strong interest in phage biology & antimicrobial resistance Preferred: Experience with omics data analysis (esp. RNA-seq, proteomics) Bioinformatics tools and computational skills (R/Python
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data from large scale DTU pilots Conduct pilot-scale CO2 capture experiments up to TRL7 Perform physical-chemical analysis of innovative solvents and gases The preferred candidate should have the
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background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica, Pytorch, etc
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Research Infrastructure? No Offer Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and
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in engineering. Candidates with the following knowledge and skills will be given priority consideration： Thermal energy storage or techno-economic analysis Heat transfer and heating/cooling systems
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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Job Description A 3-year PhD position within ligand-observed NMR analysis of carbohydrate-active enzymes is available in the Enzymatic Synthesis Technology group at the Department of Biotechnology
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animal models and knowledge of interactions between diet, intestinal microbiota and health. Experience with microbiology and gut microbiome analysis is a plus, but not a requirement. Required skills