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representations change across different brain states (awake, asleep, engaged) and track representational drift over extended time periods Analyse recorded animal behaviours throughout experimental trials and
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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data to decode multisensory information Investigate how neural representations change across different brain states (awake, asleep, engaged) and track representational drift over extended time periods
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s
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performing computational simulations and technology transfer, will be valued. 8. Pursuant to article 5 of RJEC, the selection is to be made based on the evaluation of the scientific and curricular career
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-based data. Experience in automated collection of unstructured and structured data in different formats, and translating these into a standard format for analysis, interpretation, and dashboard
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contact details, education/previous degrees obtained, prior work/research experience, and list of possible publications and theses with links to their online versions (if available) copy/copies
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for application: The candidates should present: Motivation letter; Detailed Curriculum Vitae; Copy of the Graduation Certificate(s); Other documents considered relevant; Declaration of honor from the candidate
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mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital identifier of the publications, which must be of the handle type (e.g. DOI) or URN (e.g. ISBN
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curing experiments of the composite, till the build-up of residual stresses. These experiments are complemented with finite element simulations to understand the different steps in the processing