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Field
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Processes and Transitions to the Baltic Scale” of IOW (https://www.io-warnemuende.de/stb-shallow-water-processes.html ), in which physical, chemical and biological oceanographers collaborate to achieve a
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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other siderophores using native production, genetically modified organisms and cell-free processes for the production of siderophores with the aim of achieving the highest possible siderophore
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In order to optimise our website for you, we use cookies that are necessary for technical operation. Other cookies are only set with your consent, for example to make external content available. You
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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associated PhD topics is highly encouraged Your profile Completed university studies (Master/Diploma) in STEM fields with strong background on process modelling, applied mathematics, process engineering
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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with regard to further measurement methods Continuous literature research on plant stress detection using optical methods and corresponding data processing Writing reports and participating in workshops
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
from all backgrounds. Application procedure Applications will be reviewed on a rolling basis until the position is filled. Please submit your application with a cover letter, a CV and transcripts no
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection