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vehicles. The Postdoctoral researcher is also expected to develop mechatronic concepts for rail vehicles and implement these ideas as simulation models to validate the concepts. The projects you will work
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deviates from the classical asynchronous-irregular states (e.g. papers from the IBL). In this project we aim to characterize the statistics of both ongoing and task related activity and then build models
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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and glycoproteomics. Computationally, they will engage in the analysis of various ‘omics data, be involved in using and improving AI models for glycan structure prediction, and perform biosynthetic
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of growth models, crop production management with remote sensing tools and spectral techniques, and agronomic studies. Ongoing projects involve the use of optical and radar satellite imagery, drone RGB and
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merited. Knowledge of energy markets Experience in research related to district heating and sector coupling Experience in energy system modelling Teaching experience Consideration will also be given to how
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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular
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- and 1/f noise characterization of devices. Data analysis and interpretation. Device modelling in collaboration with international partners. Teaching at undergraduate, advanced and postgraduate levels
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or tolerance to microbial BCAs and if so, what are the mechanisms behind this? Using the model plant pathogens Botrytis cinerea and Phytophthora infestans we will investigate their immune reactions and