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extraction, qPCR, cloning etc.), biochemistry (eg, metabolomics using LC-MS, extraction and purification of plant metabolites), bioinformatics (amplicon sequencing/metagenomics). Strong interest in tree
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://europepmc.org/article/PPR/PPR800886 . Profile Master's in bioinformatics, biomedicine, bioengineering, biotechnology or related fields Interest in linking digital pathology with mechanistic experimental biology
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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://europepmc.org/article/PPR/PPR800886 . Profile Master's in bioinformatics, biomedicine, bioengineering, biotechnology or related fields Interest in linking digital pathology with mechanistic experimental biology
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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degree (or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. A good knowledge and practical experience in molecular ecology, population genetics, and statistical and
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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. What We’re Looking For: The ideal candidate has completed a Master's degree in Computer Science or a closely related discipline (i.e. Computational Chemistry/ Bioinformatics/Cheminformatics
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expertise across molecular biology, bioinformatics, clinical research, and environmental science, supported by collaborations among academia, industry, and public sector partners. For further details about