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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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a PhD student at the Doctoral School in Medicine, Biomedical Science and Technology in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at
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researchers to attract funding for their best ideas from the EU Framework Programme for Research and Innovation – ideas that can make a decisive impact on society and contribute to better health for all
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for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). We encourage all qualified researchers to apply, especially those with research experience or future
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processing tasks, including working knowledge of common computational biology libraries (e.g., Pandas, NumPy, Biopython). Experience in constraint-based metabolic modelling (e.g., cobrapy, memote). Experience
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Job Description Are you passionate about sustainable solutions and advanced biotechnology? Do you thrive at the intersection of enzyme technology, protein science, and cutting-edge analytics? We’re
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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is