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. The processes will be studied using chemical and microbiological analyses, and there will also be opportunities to work with process modelling. Process microbiology. This project focuses on the microbiology
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. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial heterogeneity and
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modeling. The knowledge generated in the project will form the basis for new methods and tools to better analyze household energy behaviors. Particular focus is placed on identifying barriers and variations
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, animals, fungi, bacteria, etc.). The Program for Plant Ecology and Evolution, where this position is located, is home to eight research group focusing on genomics, adaptation and speciation as well
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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strong interest in e-health and digital health services, AI including large language models, and interdisciplinary work. The doctoral studentship forms part of Samverkan e-hälsa , a long-term collaboration
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involve a combination of computational and experimental approaches including mammalian tissue culture, genetic engineering, proteomics and animal infection models. A person who is employed as a PhD student
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. Skills in computational biology, biological modelling, and/or biostatistics. Involvement in science communication and outreach activities. On a personal level, we are looking for a candidate who can work
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an international and collaborative research environment. The PhD candidate will join the ‘Measuring What Matters’ consortium – a new 30M SEK Formas-funded research programme that aims to develop and operationalise a
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applications in different project contexts. This may include data analysis, modelling, literature reviews, and interaction with relevant stakeholders. The results are expected to contribute increased knowledge