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-omics analyses, we have been granted funding from DDLS in the field of data-driven precision medicine and diagnostics (see below). The project is titled: Causes and consequences of whole-body composition
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of variation in protein structure and function, using simple measures such as overall hydrophobicity, in addition to modern protein structural prediction techniques. The student will then be responsible
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and projects. Responsible. Good English writing (and speaking) skills. Additional qualifications Experience in the analyses of large-scale human population genomic data. Experience in using standardized
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analyses of sequence data. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties
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by using computational models of development to simulate the evolution of evolvability. Main responsibilities The main tasks include: Large-scale simulations of development and evolution under
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will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach, analyse and work with complex issues, have research experience and
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Marc Friedländer – part of the MBW Institute and located at the SciLifeLab. The team seeks to answer fundamental questions in RNA biology through quantitative approaches including custom next-generation
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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metabolomics analyses, bioanalytical techniques, methods at the interface of Chemistry and Biology, and biomarker discovery. Our team is currently searching for a highly motivated and enthusiastic PhD student
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framework that integrates multiscale molecular dynamics (MD), AI and machine learning (ML) approaches, that together with biophysical characterisation techniques will advance the current state of lipid