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surgery. Description of the project and work responsibilities The project involves basic science and clinical research samples, with particular focus on the role of autologous fat in regenerative plastic
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ecosystem processes across elevational gradients in mountains (https://www.nature.com/articles/nature21027). Following from that work, and to better understand the mechanisms involved, about a decade ago we
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, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
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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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proactive. Merits Experience in molecular cloning, nucleic acid analysis, good understanding of DNA processing enzymes and scRNA-Seq protocols. Other Candidates capable of applying a problem-solving
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own way, shaped by the sensory systems it uses to detect and interpret the environment. Nikolaev lab investigates how vertebrates sense and process environmental signals across scales, from molecules
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, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both
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department is available at: Department-of-computing-science Project description Our societies rely on computer systems and on software stacks. Unfortunately, software systems contain bugs and vulnerabilities
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description Our societies rely on computer systems, and increasingly so. Unfortunately, computer systems can be the target of malicious applications—malware. These malicious applications can be complicated
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among qualified applicants on the basis of their qualifications and their ability to benefit from studies at the doctoral level. After the selection of the suitable candidate, the process for