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) Positions Postdoc Positions Application Deadline 27 Apr 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 5 Offer Starting Date 16 May 2026 Is the job
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process control. We offer a dynamic, interdisciplinary, and international working environment and we strive at fostering collaborative atmosphere. ETH Zurich also supports postdocs in developing career
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materials and processes into functional organic electronic devices. The postdoc is also expected to actively participate in the group’s scientific environment, contribute to student supervision, and
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fellow in this lab will develop proficiency with advanced techniques in the structural and functional analysis of membrane protein complexes involved in neuronal signaling and signal transduction. For more
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, signal processing, machine learning, EEG analysis, computational neuroscience, regression modelling, uncertainty quantification, metrology, or measurement science. LanguagesENGLISHLevelGood Additional
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to stimuli, allowing them to transduce signals to the cell interior. Dynein-2 lies at the heart of these processes, as it is the molecular motor responsible for all retrograde transport from the tip of cilia
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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. The project aims to elucidate the molecular mechanisms of dynein-2 transport in cilia using cutting-edge structural and biochemical approaches. Transport within cilia, the cell’s signalling and sensory antennae
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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universities (University of Amsterdam and the Vrije Universiteit , Amsterdam), we have one postdoc position focusing on developing the advanced computational tools required to comprehend, fuse, and predict