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Field
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of 3D printed hydrogels and cell cultures. Qualifications You have solid physics and mathematics background and is excited about experimental science and advanced data analysis. We expect that you enjoy
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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in situ across length scales and relate their structure/organization to fertility phenotypes. The work includes include (i) investigating the 3D structure and composition of unknown macromolecular
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Center (NCN), Agreement No. UMO-2023/05/Y/ST11/00261 is being searched. A PhD student will join the SMtoRDUI project team of Dr Maciej Dutkiewicz, PHD,DSC. The project focuses on: research on 3D printing
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experiments with 2D and 3D (organoids, spheroids) cell cultures in the laboratory. Experience in basic statistical approaches for the analysis of large datasets. Hands-on experience with key biochemical and
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multidisciplinary approaches, including advanced bio-imaging, image analysis, cell biology, genetics, and molecular biology. Find out more about our research group here: https://tymri.ut.ee/en/content/developmental
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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methods to create precisely controlled 3D structures Developing routes the depolymerise and re-print the materials in a closed loop manner Undertaking analysis to understand the green chemistry and
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with cell culture, 3D models and in vitro assays. Experience in phototherapy, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our
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physiological and chemical biology of proteins like ion channels and proteases. The group tackles questions in the field of ion channels and proteases with innovative physiological, 3D modeling, structural