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Field
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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. For questions regarding the application process, please contact [email protected] (please indicate in the heading which position you are inquiring about). JOIN US TO BUILD A BETTER WORLD – TOGETHER
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of detailed curriculum vitae structured according to the items under point 5; c) Other documents that are relevant for the evaluation of the qualification in related scientific areas; d) Any other documents
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impedance spectroscopy, quartz crystal microbalance, in situ Raman spectroscopy, and on-line gas analysis). Develop and apply multi-signal data processing and analysis methods (electrochemistry and atomic
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environmental perturbations become biologically embedded through the microbiome, we will define the signalling networks and neural circuits that shape brain and behavioural function. This programme seeks
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Laboratory. The project aims to develop an energy-aware modelling and system identification framework that incorporates computational efficiency into the model development process. Rather than focusing solely
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: ● Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG
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mouse models, cell culture, molecular biology, processing of biological samples for omics analyses, and assessment of in vivo lipogenesis using radioisotopes. Mandatory requirements: Degree in Biological
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in mouse xenograft models. Results of our project will indicate novel therapeutic opportunities for treatment of B-cell lymphomas. Our strategy will universally target IGH translocations, regardless
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— Plasma diagnostics and experimental data analysis â— Plasma control and instability prediction â— Signal processing and data-driven analysis of plasma measurements Requirements: â