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: Digital twin development for heritage risk preparedness AI-based predictive monitoring (humidity, flooding, structural stress) Integration of GIS/BIM, LiDAR and IoT telemetry Federated data architecture and
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of the Center for integrative neuroplasticity (CINPLA) and in the INTED center. This PhD project will focus on reinforcement learning methods for generating complex structures with two possible application areas
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machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where clustering analyses often form the basis for biological
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Curriculum: HEPARD’s training is carefully structured to provide core competencies essential for rigorous, policy-relevant research while offering flexibility to tailor your training to specific needs and
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of the PhD project is to develop an effective control structure and real-time optimization scheme for a novel continuous bioprocess. The control and real-time optimization will then be validated in experiments
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10th April 2026 Languages English English English The Department of Geosciences (IGV) has a vacancy for a PhD Candidate within Rock Engineering for New Hydropower Plants - Design and Construction
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Technology . The position is for a period of 3 years. Desired start date: 1 May 2026 or earlier. The fellowship is part of TIES project “Tunable ion separations with micro-structured composite membranes
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materials under applied electric fields Magnetic and magnetoelectric measurements at cryogenic temperatures Structural and microstructural characterization using diffraction and microscopy techniques Use
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, researchers, postdoctoral Research Fellows, PhD Research Fellows, engineers, admin and master students. The research group has an excellent infrastructure, MiNaLab, covering chemical, structural, optical and
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and structural effects of various peptides on both simplified and complex membrane systems. The project will entail a combination of computational and experimental work, both directly and in