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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency in scientific
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excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you
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excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you
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interdisciplinary and translational research. The program integrates genomics, AI in healthcare, bioinformatics, biomedical engineering, biosensing, and regulatory science, with close collaboration between
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patient-oriented questions with advanced molecular methods, sequencing, and bioinformatics. The doctoral student will work in a small and interactive team and collaborate closely with other researchers and
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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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-throughput sequencing and advanced bioinformatics; (iii) Discovery, characterization and evaluation of indigenous bacterial biocontrol organisms capable of suppressing rice grain rot.The successful candidate
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developmental biology, biochemistry, bioinformatics and immunology, with a focus on the normal and pathological development of the child. Doctoral candidates are in close contact with a thesis advisory committee
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, bioinformatics, pathogen genomics, epidemiology, public health, and software infrastructure. The project will also interact with GPAP collaborators at DTU, Statens Serum Institut, Imperial College London, and
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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