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outside academia. The tasks include extensive use of optical diagnostics, such as: Near and far field high-speed microscopic imaging Chemiluminescence-based techniques Schlieren imaging and shadowgraphy
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Engineering received within the last 3 years. Essential experience includes Python, modern techniques in visual recognition and image segmentation, and the ability to rapidly prototype and fine-tune open-source
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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emphasis on colloidal systems, molecular recognition, and functional nanostructured materials for life science applications. The successful candidate will contribute to research activities associated with
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave
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requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave flumes to study entrainment is an
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will have opportunities to participate in synchrotron and national-facility experiments and to help translate discovery and prototype development into meaningful clean-energy impact whilst contributing
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/2026 , published in Diário da República, 2.ª Série, n. 96, 19rd May, hereinafter referred to as the Regulations no. 43, of 03rd March; the legal framework for the recognition of academic degrees and
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), immunocytochemistry/immunohistochemistry and imaging analysis. Additional knowledge in neuronal primary cell culture and/or neuronal differentiation of induced pluripotent stem cells (iPSCs), electrophysiology using
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, image processing, or optical instrumentation. Fluency in English, both in scientific communication and in the writing of reports and research articles. Workplan and objectives to be achieved