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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 14 days ago
; - Proven experience in flow cytometry, Western blotting and RT-qPCR; - Previous laboratory experience in characterization of hydrogels by rheological methods; - Experience with statistical analysis and image
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
of the work developed; - prepare the research grant activity report. ; ; Research Topic #2 – Semantic Communications in RF Links; - Study and analyze the state of the art in semantic communications and image
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of the work developed; - prepare the research grant activity report. ; ; Research Topic #5 – Prototype for Semantic-based Next Generation Communications; - survey and analyze the state of the art in emerging
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supplemented by microscopy assays (using Gen5 software); BD BioCoat™ Matrigel™ chamber and wound-healing and microscopy with Gen5 and Image J image analysis; tube formation; 3D cell testing and microscopy with
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 24 days ago
neuronal circuits with varying excitation-inhibition (E-I) drives, and functionally characterizing the development of iPSC-derived neuronal circuits using microelectrode array recordings and calcium imaging
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 14 days ago
and confocal microscopy techniques; - Experience in advanced fluorescence image analysis (including proficiency in developing scripts and macros in ImageJ); - Excellent oral and written communication
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advanced imaging to study the deformation process of flexible biomaterials due to the effect of cellular forces. 6. Applicable legislation and regulations: Research Fellow Statute, as amended by Decree-Law
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Research Infrastructure? No Offer Description Applications are open for 1 Scientific Initiation Studentship, for a master's student, within the scope of ACIM - Communication, Image and Marketing Unit
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for developing machine learning models for the automatic identification of species from images collected through electronic monitoring systems (Work Package 3 – Bycatch Monitoring). The candidate will be involved
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CFD model of the proposed design, 3. Create a prototype and validate the CFD results, and 4. Optimize the solution initially developed, considering the requirements associated with maintenance and