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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational
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, performing experiments with students and postdocs, analysis of imaging and electrophysiology data, contribution to scientific publications. Please submit your application online at https://apply.ista.ac.at
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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or representative code samples Please submit your application online by February 22, 2026 using this link: https://imba.onlyfy.jobs/job/zrqid1ul - Applications received after this date may be considered until
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microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a joint project, please describe your specific contributions. Briefly discuss the
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. Neural information coding for efficient spikebased image denoising. Technical Report arXiv:2305.11898, arXiv, May 2023a. URL http: //arxiv.org/abs/2305.11898. arXiv:2305.11898 [cs] type: article. A
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evaluation routine for area detection of microscope images of salt solutions during solidification Linking the time curves of the automated area evaluation and simultaneously recorded heat flow signals of a
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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, sectioning, imaging, etc.). Experience with 2D mammalian cell culture and/or 3D organoid culture. Experience with rodent handling. Experience with coding in R. Physical Requirements Remaining in a normal