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properties. Fungi are a rich source of such compounds, with notable examples including penicillin, lovastatin, and ciclosporin. Advances in genome sequencing and bioinformatics have revealed that fungal
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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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Machine Learning Bioinformatics The successful candidate will contribute to advancing state-of-the-art in data mining and machine learning research with applications in computational biology by: Developing
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for training and short-term mobility (e.g., scientific conferences); Duration Permanent Eligibility We are searching for the candidate with MSc in biology, pharmacy, bioinformatics, computer science, data
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synthesis, high-throughput screening, mechanistic enzymology, bioinformatics and microfluidic engineering are advantages Applications should contain a description of research interests (e.g. as part of
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synthesis, high-throughput screening, mechanistic enzymology, bioinformatics and microfluidic engineering are advantages. Applications should contain a description of research interests (e.g. as part of
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Research Assistant/Associate Professor (Proteomics and Bioinformatics), Non-Tenure Track - (220000I3) POSITION SUMMARY Location: On-site at the University of Maryland School of Pharmacy, Baltimore
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to identify new drug candidates and therapeutic targets. As a Research Assistant, you will contribute at the intersection of bioinformatics, machine learning, and natural product drug discovery by applying AI
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gradient Bioinformatic and statistical analyses Relate environmental variables to microbial dynamics Meso- und Microcosm experiments Contributions to IGB’s scientific activities and publications Your profile
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bioinformatics and modelling. Detailed information on the research groups available for supervising PhD projects in the current application call can be found on the website of the IMPRS MolPlant. Our Offer — We