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Field
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computational sciences and theory. Who Should Apply: Master’s degree (or be near completion of) in Bio(Physics), Chemistry, Bioengineering, or a closely related field Desirable expertise in: Single-molecule
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biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput datasets
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of postdoctoral research experience. The successful candidate will possess strong technical and analytical skills in either of the following areas: Ultrasound and cellular and molecular bioengineering, with
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immunology, cancer biology, bioengineering and translational medicine. Scientific approaches The PhD student will receive advanced training in cutting-edge technologies including: Mouse models of liver cancer
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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Computational Biology, Bioinformatics, Computer Science, AI/Machine Learning, Physics, Mathematics, Bioengineering, Structural Biology, Biophysics, or a related field Strong quantitative, analytical
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biosensors for measuring antibiotic concentration dynamics inside bacterial cells in infection biology assays, ranging from biofilm treatment to stem-cell-derived organoids and bioengineered tissue infection
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year of research experience in biomaterials, pharmacology, bioengineering, biomedical sciences, or related areas. Excellent oral and written English language skills. Desirable competences: Experience in
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, bioprocesses, bioengineering, bioconversions, reaction engineering, dynamics and process regulation, process and facility planning, unit operations, a.o. The Department enjoys very close relations with
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training in one or more of the following areas: Chemistry (e.g. polymer chemistry, systems chemistry, chemical biology, biochemistry) Synthetic biology Biomaterials, Biotechnology, Biophysics Bioengineering