10 parallel-processing-bioinformatics "SciLifeLab " PhD positions at Lunds universitet
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, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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researchers whose aim is to define and understand the biological processes underlying neurodegenerative diseases. Our research is translational and includes studies on patient cohorts and cognitively healthy
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biology, medicine, and bioinformatics, and works in close collaboration with clinical practice. Collaborations take place both nationally and internationally, and the research environment is characterized
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training using computational models. Education or documented training in omics-based approaches, such as transcriptomics or proteomics, including basic bioinformatics analysis. Exposure to systematic
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, bioinformatics, quantitative and structural proteomics, as well as structural biology (cryo‑electron microscopy), to determine the interactions between intact bacteria, bacterial virulence factors, and human
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, human interventions can significantly impact the forests’ ability to contribute to greenhouse gas reductions. This position will contribute to research on disturbance processes and variability in
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kinetics, and advanced diagnostics of gas-phase and surface processes. The research ranges from fundamental studies of reaction mechanisms to applications in sustainable energy, catalysis, and plasma
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focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic growth and structural
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to third-cycle studies may be appointed to a doctoral position. In the recruitment process, primary consideration will be given to the applicant’s ability to benefit from the doctoral programme. In
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with the aim of studying and understanding processes in materials, often related to moisture and durability aspects. The division has a large laboratory infrastructure and has a high focus on