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19th April 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Hard Rock Geothermal Drilling and AI-Driven Drilling Optimization - IV-21/26
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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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critical mechanisms of viral persistence and replication and optimize antiviral strategies designed to interrupt these processes. Present research findings at national and international conferences Your
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and
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independently to ongoing projects with minimal additional training. Duties • Design, perform, and optimize experiments involving cell-based super-resolution microscopy and single-molecule imaging to quantify
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-related proteins. The successful candidate is expected to contribute immediately and independently to ongoing research projects with minimal additional training. Duties • Design, perform, and optimize
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality
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drilling data, digital‑twin methodologies, and AI‑driven optimization approaches to address fundamental challenges in hard‑rock drilling. As a PhD candidate, you will benefit from close supervision, access
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real-world challenges faced by industry, governments, and society within the international STRUCTURE project? Information The PhD candidate will work within the international research project STRUCTURE
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[3] or GaAs [4] suffer from major defects. Due to its indirect band gap, Ge has limited absorption efficiency. GaAs structures, on the other hand, have been produced on expensive III-V substrates