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Field
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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, allowing demand flexibility services, distributed Energy Resources (DER), efficient operation, relevant savings in network investments, and the participation of consumers. Europe requires large investments
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management strategies for smart grids and offshore systems. Key areas include integration of renewable energy, distributed generation, and demand-side flexibility to ensure stability under uncertainty
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distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally (Federated Learning). Analyze Mobile & Wearable Data: You will work with
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that aims at giving the European Union the technological edge and independence in next generation Edge AI technology, giving citizens and corporations access to reliable, safe, secure and independent
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interdisciplinary approaches. Today, in addition to general bacteriology, we work with applications of various nanomaterials in biomedicine and biotechnology, metabolic engineering of microbial cell factories and
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/2017 of 19 July, which approves the Doctoral Hiring regime to stimulate Scientific and Technological Employment in all knowledge areas (“RJEC”); the General Law for Public Service Employment approved in
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, distributed systems, or large-scale data pipelines Experience with game engines, XR systems, or advanced graphics frameworks applied to scientific data Record of publications in visualization, AI
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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and protein expression analyses by next-generation sequencing methodologies). We seek you that is a skilled and motivated researcher interested in microbial ecology. We welcome applicants with different