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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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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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/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
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dynamics to fish as well as the coastal zone as a fishing ground and production area for low-trophic aquaculture, i.e. farming of shellfish, seaweed etc. The research topics include some general themes
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of the parameter space in relation to the statistical model. One of the main goals of SLT is to quantify the complexity of such models w.r.t. the data generating process (and some prior probability distribution
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. The position combines field ecology with emerging technologies, contributing to next-generation wildlife monitoring approaches. We are looking for candidates with a background in bat or wildlife ecology