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Field
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punctual mobilities within the partners of the project consortium. The PhD task will be dedicated to the 3D printing of nano-structured polymer materials by photo-Polymerization Induced Microphase Separation
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, microfluidic platform for in‑depth analysis of liver - immune cell interactions Qualifications Master’s degree in Biology, Biotechnology, or a closely related field. Minimum of two years of relevant post
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Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network activity and synaptic dynamics using
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expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic systems as well as in flow control technologies. The group’s research is conducted within
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biology, epigenetics, 3D genomics, and genome regulation. LanguagesENGLISHLevelExcellent Internal Application form(s) needed CeNT-34-2026_SONATA21_J.Borkowska_PhDStudent_EN.docx_.pdf English (133.12 KB
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the deadline. The project topic is flexible and will be developed jointly by the student and the supervisor, depending on the candidate’s background and research interests. Possible directions include 3D body
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. Perform preliminary characterization using scanning electron microscopy, powder X-ray diffraction and elemental analysis. Diffraction data collection: Record precession-assisted 3D electron diffraction data
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specially developed, AI-based software that enables 3D reconstructions of element distribution Complementary analysis using other advanced techniques such as SIMS, Raman, FIB-SEM, µ-CT, etc. Compilation
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, Stem Cell Biology, Biotechnology, Biochemistry, or a closely related discipline. Candidates with experience in bioinformatics and omics data analysis are encouraged to apply. Required Related Experience
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these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will