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systems; - Preferably with prior knowledge or experience in research projects related to agrivoltaics; - Ability to analyse data and produce scientific documents. - Good command of English and Portuguese
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S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 9 days ago
to, the following tasks: Development of three-dimensional (3D) cell models (organoids) derived from salmon skin; Optimization of organoid growth and differentiation conditions, including testing various media, growth
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | about 5 hours ago
supervision of the project’s Principal Investigators: Optimization of the protocol for primary cultures of mouse retinal microglia. Phenotypic characterization of retinal microglial cultures by confocal
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purification (affinity and size-exclusion chromatography) of the native protein according to established protocols. If necessary, optimization experiments and/or site-directed mutagenesis may be considered
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, if the latter are not from the desired field of study and/or do not possess the relevant knowledge to develop the work plan. I.II - The non-degree-granting course must be related to the type of activity covered
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the life cycle of food products and identify potential environmental optimization opportunities; d) Contribute to the integration of the developed components into the created systems; e) Participate in
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analysing the influence of the main machining parameters on the dynamic behaviour of cutting, with the objective of identifying instability conditions and supporting process optimization. This work plan is
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
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within the framework of project PROMisH - Potential of Rheologically-Optimized Magnetic Emulsions in Hemotherapy, with nº 16207, and the operation code at the Funds Platform COMPETE2030-FEDER-00736400 and
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samples. The candidate will be involved in developing, optimizing, and validating advanced analytical methodologies, applying them to analyze environmental samples, processing and interpreting data using