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Field
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experts can bridge the gaps across genetics, molecular biology, bioinformatics, biostatistics, clinical research, cancer epidemiology and aetiology, and data science to advance breast cancer research and
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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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of the molecular mechanisms underlying MS progression by integrating genetic, epigenetic, and clinical data using advanced bioinformatics and AI-based analytical approaches. As a doctoral student, you will analyze
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systems. To get an overview of our lab's recent projects, take a look at our publications: https://drescherlab.org/publications.html We are looking for a highly motivated and talented PhD student to join
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our website: https://www.list.lu/ How will you contribute? You will join the recently awarded PEARL project FUNG-FACTORY in a team of approximately 10 people – led by Ronald de Vries, dedicated
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molecular biological methods and bioinformatics to analyse microbial communities in both laboratory-scale and full-scale biogas processes. The aim is to identify microorganisms and microbial markers
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. You will use DNA sequencing and related methods to characterize cellular responses to stress and following interventions. Using bioinformatics, these data will be integrated with characteristics such as
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proteomics Bioinformatic data integration and development of predictive biomarker models Clinical validation of findings using patient cohorts from both institutions Regular scientific exchange and
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aggregation – 15% III. Bioinformatics, with emphasis on docking in the context of drug discovery – 10% Only candidates who obtain a score equal to or greater than 50% in the parameters indicated in points 11.1
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for bioinformatics and genome biology. The student will have access to training and career development opportunities at the Earlham Institute and on the Norwich Research Park as part of the Norwich Biosciences