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hands-on experience in tissue handling, histology, microscopy, and spatial transcriptomics. Experience with the computational analysis of NGS- or imaging-based spatial transcriptomics and single-cell
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for application in biocatalysis. Enzyme kinetic analysis. Development and optimization of multi-enzyme cascade reactions. Disseminating project results through scientific publications and conference presentations
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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enrichment, fisheries, offshore constructions, and pollution, to gain knowledge to support EU and national policies. A key component of the work will be analysing monitoring data using advanced statistical
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knowledge of heat- and mass transport processes, high-temperature chemistry, and reaction engineering. Knowledge of polymer chemistry, thermal analysis, coating characterization techniques, and structure
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for use in modelling and analysis. Running model simulations (training will be provided). Analysing simulation outputs and presenting results through data visualization. Qualifications We are looking for a
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two-dimensional (2D) materials such as graphene, a-RuCl3, and transition metal dichalcogenides (TMDs). This PhD project is highly focused on methodology, resolution enhancement, and reproducibility. It
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
Are you interested in environmental science and risk analysis and protecting the marine environment from contamination from dumped munitions? We invite applications to a unique exciting opportunity
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Investigator AssociateProfessor Christoffer Clemmensen “Pharmacologically leveraging neurotrophic factor signaling for sustained weight loss” Principal Investigator Professor Juleen R. Zierath “Deciphering
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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision