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. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Anker Degn Jensen: +45 2217 1723, e-mail aj@kt.dtu.dk . If you are applying from
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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project description The project is leveraging the latest research within brain-inspired data processing aiming at reducing workload and improving accuracy of Long-Term Video-Electroencephalographic
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analyses on harvested tissues and biofluids. The postdoc will be responsible for planning the experiments, data acquisition, preparation, analysis, manuscript writing, and other activities for disseminating
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at the intersection of digital building technologies, data science, and energy systems. By joining our forward-thinking section Digital Building Technologies at DTU Construct, you will gain hands-on experience in
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with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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collaboration between research groups at several departments at Aarhus University. For further information, please contact Professor Kurt Gothelf +45 60 20 27 25 kvg@chem.au.dk Application procedure Shortlisting
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop