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(eDNA) approaches for biodiversity assessment across multiple habitat types. The PhD project will focus on applying and developing eDNA‑based methods to assess biodiversity and ecological communities in
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and collaborative research environment. The group and the department are currently expanding and recruiting several young researchers across multiple projects, offering an active and stimulating
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interdisciplinary hub that hosts multiple research groups working on self-driving laboratories. This environment allows for close integration between your computational models and high-throughput experimentation
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up analytics including HPLC, LC-MS and GC-MS Protein expression, purification and characterization using biochemical and biophysical assays Variant identification using next generation sequencing
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-project, you will thus be expected to regularly align with colleagues involved in experimental investigations and spearhead the formulation of the experimental campaigns that can support the creation
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Life Expectancy aims to analyse how multiple social determinants of health intersect in shaping lifespan. This project aims to solve the methodological challenges in estimating and forecasting lifespan
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of antibiotics against human pathogens. You will work on antibacterial assays (against Klebsiella) and use genome sequencing and mining to select the most potent strains and use a range of elicitor techniques
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, including working with antisense oligonucleotides and RNA binding small molecule drugs for modulation of splicing, as well as hands-on experience with Next Generation Sequencing technologies and
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experience in fish vaccine research, including utilizing long-read sequencing and transcriptomic methods to characterize vaccine-induced immune responses. Research experience within microbiology, molecular
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods