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the same consequence applies when the supporting documents are not organized according to the model in Annex A. 20.5 Candidates must formalize their application by submitting the documents through
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the candidate implies that the elements that should prove it will not be evaluated, and the same consequence applies when the supporting documents are not organized according to the model in Annex A. 20.5
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submitted by the candidate implies that the elements that should prove it will not be evaluated, and the same consequence applies when the supporting documents are not organized according to the model in
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mechanisms involved in the new multi-target therapeutic strategies, both in 2D and 3D cell cultures and in an animal model of cancer. Experience in these areas will be valued, as well as publications with a
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
related fields; Proven experience working with in vitro models and/or in vivo models (Drosophila); Solid experience in cell culture and molecular biology; Proven expertise in standard biochemical and
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spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | about 2 months ago
systems that simulate and model human behaviour in immersive environments. Integrate psychophysiological data (e.g., EEG, EDA, EMG) into interactive digital applications for experimental and clinical use
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
with the fish host, using Kudoa dicentrarchi as in vivo model”, with the reference COMPETE2030-FEDER-00726900, Operation No. 16118, funded by COMPETE2030 and national funds (FCT) under Call for
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
biochemistry and cellular assays, with functional studies on cellular and in vivo models of neurogenesis and neuronal reprogramming. Work will be conducted at i3S, one of Portugal´s top science institutions
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6. of this Notice. Preferred factors: Knowledge in machine learning and programming (Python), deep learning (e.g., tensorflow, pytorch) and time-series modeling in marine ecology applications