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Field
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controlling soil-plant interactions and to extend the gained understanding to the large scale to be used in precision agricultural management Connect novel processing and inversion techniques to experimental
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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://concert-japan.eu/research/advanced-multimodal-sensing-and-data-fusion-for-early-digital-detection-of-plant-stress-symptoms/ The focal topics of the sub-project include: Development of experimental protocols
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Knowledge of renewable electricity systems and/or a background in atmospheric sciences is an advantage Experience in atmospheric/climate modeling, renewable electricity generation simulation and/or energy
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construction of random unitaries based on quantum circuits Transfer these efficient randomization techniques into applications, especially classical shadows Model and identify the effects of experimental errors
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related field Experience with cellulose and its processing technologies is an advantage Strong willingness to contribute to the setup and management of laboratory infrastructure Fluency in English
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disciplines. • Previous experience in microbiology/bioinformatics/bacterial genetics would be desirable. • Knowledge of a scripting language and R is a plus. • Excellent English communication skills (written
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Optional requirements: background or experience in protein biochemistry and molecular cell biology research communication skills in German (can, alternatively, be learnt on the post) We offer: integration
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have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You are confident in object-oriented programming
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degree in biotechnology, microbiology, molecular biology, or a related field. Background in metabolic engineering, microbial genetics or synthetic biology. Experience with molecular cloning and bacterial