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. These data will then be used to find out what additional insights can be generated by using suitable analysis algorithms. This work is part of the EU-funded project “Decode – Decentralized Cloud Labs
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Knowledge in mathematical optimization methods Experience in data analysis and programming (preferably Python) Ability to work independently and collaboratively in a research environment Fluent English
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2.0 or better) Very good experimental skills are essential Experience with AirCores, GC systems, Balloon observations are desirable Solid programming skills (e.g. Python) for data analysis are helpful
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, thermodynamics and practical laboratory work Experience with hydrogen technologies, dehydrogenation reactions, catalysis and partial reforming is advantageous Computational competencies for data analysis and
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experience in the area of data analysis, data mining and ML/DL demonstrated through, e.g., a thesis, publications in peer-reviewed journals or open source projects Strong programming skills in python and
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Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting
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design workflows for training, running, and evaluating a downstream application of HClimRep that will deliver high-quality ecohydrological forecasts for drought, flood, and ecosystem analysis. Specifically
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Your Job: We offer a challenging and innovative PhD position within the international EU project LOCALISED. You will play a key role in the development of regionally adapted plans for the European
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growth and performance. Simulation modelling will be used for an in-depth mechanistic analysis of pre-crop effects and to extrapolate pivotal research findings depicted within the models for future climate
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Your Job: You will be performing simulations of lattice quantum field theory (QCD/low dimensional models), developing analysis methods and tools and simulation software, analyzing, publishing and