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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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The Leibniz Institute of Plant Biochemistry invites applications to fill the position of PostDoc Researcher for Metabolomic and Proteomic Analysis (m/f/d) (Salary group E13 TV-L,working hours 100
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online surveys Experience in qualitative document analysis Experience in management of international scholarly research projects Experience in supervision of undergraduate and PhD students We offer
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production for additive manufacturing, to the analysis of the final machined components, for example high-precision gears. This is how we shape the requirements of tomorrow. What you can expect from us
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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and functional changes in the heart and liver in animal experiments Isolation and analysis of primary liver and heart muscle cells from mice Preparation of tissue sections (liver and heart) using a
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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of precursors in gram scale batches for thin film deposition of functional nanostructured materials Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis (TG-DTA) and other analytical methods Your
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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AI-based tools such as AlphaFold to generate and test new biological hypotheses on the evolutionary and molecular mechanisms of brain aging Assisting in the creation and analysis of new next-generation