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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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microscopy in biological science; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics
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, Machine Learning, Hyperspectral Cameras • Professional proficiency in written and spoken English Application process Send your application in English by email to amx@wzw.tum.de with the title “Research
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
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scholarship Travel funding Graduate programmes Biological Clocks on Multiple Time Scales (Clocks) Subject Specific Learning and Interaction in Elementary School (INTERFACH) Just and sustainable transformation
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, imaging or biochemical methods is helpful. OUR OFFER Highly motivated team Flexible working hours World-class institute with an outstanding working environment The payment is based on the TVöD guidelines
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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ambitious individual with team spirit, a high degree of curiosity, and eagerness to learn and make fundamental scientific discoveries. YOUR PROFILE: Applicants should hold a Master’s degree in the life
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, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation