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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
for the AMBIOM (Analysis of Microscopic BIOMedical images) Research Group: PhD Candidate (m/f/d) You will be responsible for Developing large-scale microscopy image analysis pipeline for 3D microscopy images
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based on 3D robust and feature rich game engine (e.g. Unity) including interactive tools to enable movement in the 3D space and manipulation and access to relevant materials/digital artefacts. Generation
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, maintenance, and expansion using advanced 3D culture systems. Conduct organoid chemosensitivity testing using viability and apoptosis assays. Maintain and expand an annotated cryo-preserved biorepository
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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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, statistical analysis, and publishing in peer-reviewed scientific journals. For applicants who are non-native speakers of English, the University requires IELTS of 7.0 (with no band less than 6.5
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platform for large-volume 3D microscopy of ex vivo mouse tissue, called chromatic multiphoton serial microscopy (ChroMS) (Abdeladim 2019, doi.org/10.1038/s41467-019-09552-9; Blanc 2023, doi.org/10.1021
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models, including 2D and 3D cell models, to assess the activity, biocompatibility and accumulation of nanomaterials; • participating in interdisciplinary research conducted by the project team; • analysing
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to address key experimental and computational challenges currently limiting the clinical translation of spatial biology. By integrating multi-omics approaches, enabling the transition from 2D to 3D tissue
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, computational biology, or related biomedical fields. Experience with cell culture, animal models, molecular biology, imaging, or computational analysis. Experience with 3D organoids or slices models, confocal
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photolithography, 3D printing and multiphoton lithography, together with innovative biomaterials. These models will be used to investigate, through advanced microscopy and quantitative image analysis, how