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iii) developing socially just heat adaptation strategies, that are context and conflict sensitive. This PhD position is situated at the Faculty of Architecture and the Built Environment, Department
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an understanding of complex systems with a vast amount of software requires effective architecture explanation frameworks, visualizations and identification of architectural refactoring opportunities in legacy
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highly motivated Ph.D. candidate. The background is preferably in electrical engineering, computer architecture, control, computational neuroscience, or similar fields. Unconventional backgrounds supported
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, dynamic simulation, additive/classical fabrication; sensorization, actuation, and integration on gantry/field robots. For PhD#3 (DT): Design software architecture; integrate multi-modal data and models (e.g
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domains. Develop hybrid AI architectures combining symbolic domain knowledge, real-time data streams, and probabilistic inference. Design and evaluate decision support tools capable of interacting with
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Engineering). - Theoretical foundations of 6G RAN and autonomous systems o Proven knowledge of AI-native RAN systems. Indicative skills/experience: - Deep understanding of 5G/6G RAN architecture (O-RAN, NG-RAN
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this context, emerging cryobioprinting technologies present a transformative approach for creating complex, cell‐laden constructs capable of mimicking the architecture and functionality of native tissues
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parametric design software. - Grades obtained in the subjects of architectural design, construction, and structures during undergraduate studies. - Experience in academic, research, and/or professional work in
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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a Research Infrastructure? No Offer Description The PhD student will join a world-leading research environment at the Chalmers Security and Privacy Lab . Software is often the root cause