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, IoT, and SoS automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. Projects
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literature, articulate targeted problem formulations, select appropriate methodology and methods, collect data, and systematically and critically analyze the findings from your studies. During this PhD journey
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automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. Projects typically involve
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nanoparticle (LNP) understanding and its design. This research will focus specifically on enhancing targeted delivery systems for immunotherapy applications, representing a cutting-edge frontier in drug delivery
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appropriate benchmarks for the target domain, and determining which fusion architectures best balance performance, interpretability, and computational efficiency. The student will collaborate closely with
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lipidated proteins are transported in Gram-negative bacteria, a mechanism crucial for bacterial survival and a potential target for new antibiotics. You will use molecular biology and biochemical techniques
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, and contribute to identifying tumor vulnerabilities that may become future therapeutic targets. What we offer: A dynamic and interdisciplinary research team with expertise in cancer biology, statistics
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. The long-term goal is to enable targeted interventions for the right individuals, based on their lifestyle, disease trajectories, and molecular profiles. To achieve this, we will apply deep learning models