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                and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute 
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                research areas are explored, Microbes and Element cycles; Deep-sea research, Co-evolution of Life and Earth, Oxygen, Greenhouse gases and climate, Sustainability and biotechnology: How microorganisms 
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                in leading international journals. Preparing comprehensive analysis reports and contributing to high-impact research publications. Participating in dissemination activities to share findings with 
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                the data and developing excellent and impactful research published in leading international journals. Preparing comprehensive analysis reports and contributing to high-impact research publications 
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                emergent political movements in rural areas. Analysing the data and developing excellent and impactful research published in leading international journals. Preparing comprehensive analysis reports and 
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                analysis reports and contributing to high-impact research publications. Participating in dissemination activities to share findings with academic, industry, and public audiences. When preparing your project 
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                analysis. It poses challenges, particularly in real-world implementation, testing with real data, and widespread acceptance of novel technologies. Expected outcomes include the development of mobile apps and 
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                Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in 
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                . The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware. As a PhD candidate, your primary focus will be 
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                experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self