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timings) affect the metabolome and proteome of rapeseed seeds. Your findings will serve as molecular fingerprints to support Deep Learning models for hybrid development. Whom we are looking for: An early
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in vitro platforms and humanized mouse models Your Profile: Required qualifications: PhD in virology, immunology, or a related field Degree in life sciences, human medicine, or veterinary medicine In
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kinetic modeling Experience with (or willingness to learn) 3D modeling, CAD software, and 3D printing What We Offer: TV-L (E13, 67%) collective agreement ( Current TV-L pay table [pdf-Datei] ) A three-year
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communication environments. For the advertised PhD researcher position, this work involves written and multi-modal corpora development and analysis, and working with computational models of irony and analysis
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the rearing of young to the availability of specific sea-ice habitats as a birthing and lactating platform. The success of these strategies critically relies on the timing of behavior to match the narrow summer
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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and physiological function of specific transport proteins in heterologous expression systems in crops and (trans-genic) model plants. • A unique set of Arabidopsis and barley transporter “mutants
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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changes during fermentation and drying processes Proficiencies in computational process modelling and statistical data analysis Excellent publication record and proven success in attracting third-party
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from certain countries (see list of countries ). In the event of documented funding issues the Humboldt Foundation is also willing to explore individual solutions and potentially agree exceptions also