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the following programmes: Biology Chemistry Computer Science Geoscience Mathematics Molecular Biology and Genetics (incl. Molecular Medicine and Bioinformatics) Physics and Astronomy The University is located in
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. Responsibilities and qualifications As our new colleague, your primary responsibilities will include: Developing, maintaining, and extending bioinformatic pipelines, integrating data from multiple sequencing
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methods, and uncertainty-calibrated AI. These approaches are crucial for realizing the potential of machine learning in fields like physics, chemistry, and bioinformatics—where practical and reliable
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we are CLINDA is a multidisciplinary center dedicated to bridging clinical practice and data science. It comprises three research groups: (1) Clinical AI, (2) Bioinformatics and Statistics, and (3
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, data science/bioinformatics, or a closely related field. Previous experience working in interdisciplinary research across fields will be considered advantageous. The applicant must display strong
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well as huge genomic data sets. We work with novel macroecological process-based and null models, cutting-edge DNA and genomic techniques, powerful bioinformatics tools and robust statistics to enable a truly
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classifiers Collaborating closely with bioinformatics cores and international project partners Mentoring PhD students and contributing to grant applications You will report to the Assistant Professor Xiang
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classifiers Collaborating closely with bioinformatics cores and international project partners Mentoring PhD students and contributing to grant applications You will report to the Assistant Professor Xiang
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laboratory work (DNA extraction, PCR, sequencing workflows) Bioinformatics and statistical analysis (e.g., R or Python) Biodiversity assessment or ecological community analysis Fieldwork experience in
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data and offers a broad range of online and in-house bioinformatic pipelines for analysing bacterial and viral genomes and metagenomes. The group has already back in 2013 developed a bioinformatic