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15th June 2025 Languages English English English What can microbial DNA tell us about the environment? Join us discovering this with AI! PhD scholarship within bioinformatics, using data science in
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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offers the opportunity to undertake a fully-funded 4-year PhD research project supported by the UKRI Medical Research Council in microbiology and microbial bioinformatics. Our unique and comprehensive
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) invites applications for PhD students in the field of synthetic biology and bioinformatics starting as soon as possible. PhD Student in Synthetic Biology and Bioinformatics (f/m/d) YOUR TASKS The project
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for PhD students in the field of synthetic biology and bioinformatics starting as soon as possible. PHD STUDENT IN SYNTHETIC BIOLOGY AND BIOINFORMATICS (F/M/D) YOUR TASKS The project focuses
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 months ago
of Cellular Biophysics (Prof. Dr. Joachim P. Spatz) invites applications for PhD students (m/f/d) in the field of synthetic biology and bioinformatics starting as soon as possible. Your tasks The project
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microbiology, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various core facilities with expert staff, and a structured PhD program
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Status: Open Applications open: 28/05/2025 Applications close: 27/06/2025 View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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project where you will work at the Cytiva Solna and Elofsson lab environments, both located at the Solna Campus. Upon successfully completing the 4-year project, you will obtain a PhD in Bioinformatics from
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impacted by sewage release and is associated with significant flooding events. The student will combine experimental methods with metagenomics and bioinformatics to profile the threats associated with