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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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subjects, including Programming, Algorithms, Computer Logic and Architecture, Web and Mobile Development, Human-Computer Interaction (HCI), Green and Sustainable Software Engineering, Software Engineering
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
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integration, and system integration for next-generation wireless systems. We envision programmable and intelligent cellular networks that can be dynamically and algorithmically instrumented and optimized
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims to develop new sensing algorithms integrated
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. Responsibilities Application of Domain Expertise: Maintain strong command of AI and machine learning concepts, including underlying science, math, and algorithms; stay current through reading publications, reviewing
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framing for NLP tasks, rigorous model evaluation, the design of end-to-end algorithmic workflows, assessment of methodological trade-offs and challenges, and the implementation of NLP systems using high
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
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oversee and develop algorithms for analyzing ensemble genomics data, single cell genomics data, single cell merFISH and sequential oligopaints imaging data, as well as novel molecular connectomics data