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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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, or animal observations in ecological studies. These data are commonly analysed using spatial or spatio-temporal point processes, which describe how events occur and interact. In many applications, each event
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analyses the significance of inherited wealth across multiple generations. Using Sweden's wealthiest families at the beginning of the twentieth century as its point of departure, the project has
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polymerization processes that are regulated by cellular signals, disease markers, and local microenvironments. The work will involve developing and evaluating material formation in relevant cell models (e.g
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Arabidopsis thaliana or a comparable model plant system. Very good written and oral English language skills. Meriting qualifications The following qualifications are not required at the point of appointment
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
Network SPARK for the doctoral project ‘Spatiotemporal Information Processing’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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Third-cycle subject area: Landscape architecture Description of the doctoral project: Governance and organisational alignment related to the operation and maintenance (O&M) of urban drainage
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be conducted through a series of clinical research studies and is closely linked to highly specialised stroke care and neurointerventional services. The PhD student will analyze and process large
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process. About us The Southern Swedish Forest Research Centre is an interdisciplinary department conducting research and teaching across a broad range of subjects related to sustainable forest management