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metatranscriptomics. We are looking for a dynamic and motivated PhD student to conduct innovative scientific research in the field of microbial ecology and applied bioinformatics. The use of various -omics tools means
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validated analytical tools into continuous manufacturing processes. The role also involves collaboration with interdisciplinary teams across bioprocessing, analytics, and bioinformatics to support platform
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the key mechanisms governing this process. About You We are looking to appoint a European Research Council-funded PDRA with a background in bioinformatics and computational biomechanics. The ideal candidate
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, bioinformatics or related disciplines. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in
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or equivalent Skills/Qualifications Bioinformatic analysis of mass sequencing data - Bioinformatic analysis of single-cell assays - Statistical analysis of clinical databases - Programming of data analysis
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Description Job Number/Taleo: 260000B2 FRIS: 03-307-181 FRIS: 03-307-182 OPEN RANK: Assistant to Associate Professor in Biostatistics The Division of Biostatistics and Bioinformatics within the Department
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of contributing to multiple research efforts involving diverse collaborators. Research (85%) Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data
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bioinformatics. Organizational Status This position reports to the lead Principal Investigator Dr. Michael Kobor (Medical Genetics), and works in conjunction with other investigators and research personnel within
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Bioinformatics & AI Expertise Unit - VIB–KU Leuven Center for Cancer Biology (CCB), Leuven, Belgium Deadline to apply: 31 March 2026 About us The VIB–KU Leuven Center for Cancer Biology ( CCB ) is
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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics