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level of motivation for interdisciplinary research Ability to work in a team and to conduct field work in alpine environments Driver’s licence (Class B) Excellent command of English (min. C1) and good
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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command of spoken and written English. We offer: An excellent, interdisciplinary research environment. Flexible working hours. A 3-year contract with salary and benefits depending on experience, according
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processing and analytical chemical analyses. •Excellent command of English language (written & oral) and experience with scientific writing. We offer •Friendly and inspiring working atmosphere in a highly
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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all over Germany join forces to integrate a thermodynamic description into the processes understanding of soil systems and gain insights into how energy and matter fluxes drive organic carbon dynamics
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personal profile, potential tasks include but are not limited to: - Development of a recirculation system for culture medium in a perfusion bioreactor system - Implementation of process control, soft sensor
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or experimentally test the vein network dynamics of our model organism Physarum polycephalum. Your findings pave the way for control of vein network architecture and their function. Requirements As a suitable