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, offering the chance to engage and connect—our PhD Representatives offer information and advise when needed the chance to be part of an engaged, interdisciplinary team a stimulating working environment in
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to brain processing using several different methods, including electrophysiological (EEG), functional and structural brain imaging, as well as behavior and psychophysical measurements. We offer an engaging
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
/PhD – in English) List of publications 2 recommendation letters or full contact information of 2 academic references Documentation of skills in written and spoken English Applications received after
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with industrial partners for process development Supporting the management of research and data infrastructure YOUR QUALIFICATIONS Research experience in macromolecular synthesis, and soft matter physics
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radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface software for computer simulations, and conduct theoretical research to submit proposals to the ongoing
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relevant information specific to your field of research. Arrange for at least three letters of recommendation (one should be from the PhD advisor). These letters should come from individuals familiar with
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results from university-level courses taken Early application is highly
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, Applied Physics, Plasma processing for materials. Experience and skills PhD in Materials Science, Applied Physics, Plasma processing for materials. 3 to 5 years proven experience in an international R&D
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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project