215 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions in Germany
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using DC and AC-based techniques such as characteristic curves, cyclic voltammetry and electrochemical impedance spectroscopy Participation in the investigation of stacks and cells post-test using
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the DLR Institute of Communications and Navigation, offers a promising alternative by using medium-wave signals from existing maritime radio stations. The AIR-MoPSy project aims to improve the accuracy and
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] Subject Areas: Applied Mathematics, numerical methods, simulation and modelling Appl Deadline: 2025/05/31 11:59PM (accepting applications posted 2025/02/13) Position Description: Position Description
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communication skills What we can offer you: an inspiring and collaborative environment where you can fully realize your passion for education and research, autonomy supportive research environment and diverse
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applications posted 2024/12/03, updated 2025/05/20, listed until 2025/07/15) Position Description: 2025/07/15 11:59PM Position Description The Technical University of Munich (TUM) welcomes applications for a PhD
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experts from companies and policy makers, as well as communicating findings in policy-relevant time frames and formats. This position is suitable for furthering scientific training according to Section 2
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(including the doctoral dissertation) Strong methodological training in quantitative survey and experimental research (Additional asset: experience with using large language models in surveys) Proficiency in
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) A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work Targeted services for international employees, e.g
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possible means for networking with colleagues and pursuing sports alongside work Targeted services for international employees, e.g. through our International Advisory Service In addition to exciting tasks
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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