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Field
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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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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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, medicine, biophysics, or related disciplines); Basic knowledge in bioinformatics and molecular biology; Knowledge of English language, at least intermediate level (B2). Where to apply E-mail sanda.burlacu
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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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uncover target genes and genome-wide binding in different tissues. Bioinformatic analysis of binding sites will reveal potential novel interaction partners, which can be further analysed. Additionally, you
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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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and recent evolutionary genetic discoveries, utilizing large-scale bioinformatic databases and resources. Background: The human brain is a highly complex network of interconnected regions—the connectome