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pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor
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, energy metabolism, translational OA research, and drug repurposing. You have or gain expertise in gene expression profiling, pathway analysis, joint biology, reporter‑platform technologies, and therapeutic
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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess
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support the failing heart—at the exact moment it matters most? This PhD position bridges a state-of-the-art Mechanical Circulatory Support (MCS) experimental lab with real-world clinical analysis in
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analysis is crucial to evaluating the cost-effectiveness of psychosocial and tech-based support to improve the lives of people with dementia and their informal caregivers. PhD Candidate in Health-Economic
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on its own methodological traditions, faculty members necessarily apply a wide range of methods and frequently rely on meta-analysis, event history modelling, fs/QCA, and ethnographic observations. RSM
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and peers across Europe, gain exposure to diverse academic and professional environments, and engage actively in dissemination, workshops, and scientific communication. Where to apply Website https
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. Experience with molecular biology techniques, microbiome analysis, or plant–microbe interaction studies is considered an advantage. You are motivated to work at the interface of fundamental microbiology and
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analyse both existing panel data and newly collected survey data (e.g. with multilevel regression and longitudinal panel analysis). We will refine existing network measures to better capture inherited
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studies examining intersections in caregiving participation and outcomes. We in particular invite candidates who are interested or experienced in intersectional analysis, have an affinity with quantitative