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fermentation and formulation methods for whole-cell BioAg products. A central focus will be linking production processes with field performance by studying physiological, chemical, and molecular-genetic
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diffraction and related scattering methods, Raman spectroscopy, electron microscopy (SEM and TEM). Carry out electrochemical characterization of the materials in half cells as well as in full sodium ion battery
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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand
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Grant Agreement signed with the European Commission, at least one original publication in a peer-reviewed journal, a background in the relevant methods, a complete application package submitted through
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Grant Agreement signed with the European Commission, at least one original publication in a peer-reviewed journal, a background in the relevant methods, a complete application package submitted through
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chemical analysis methods, Experience in at least one or more of the following areas is a plus: oxygen-sensitive enzymes (glovebox), metalloenzymes, cultivation of different bacterial cells, enzyme
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background is required with documented expertise in the following research areas: Expert understanding and ample track record of Mass Spectrometry-based proteomics Strong track record in both method
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). The successful candidate will contribute to the Nudge2Green research project, applying software development and AI methods to design digital nudging tools that promote sustainable consumer behavior in food choices
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. Over the last decade HLA class II antigen presentation has been accurately described and methods developed that predict this event with a high level of confidence. In comparison, a detailed understanding