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within the framework of project FLUIDNET: A Novel Deep Learning Architecture for Solving Viscoelastic Fluid Flows with reference 2024.13980.PEX, financed by national funds through FCT/MCTES, under
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within the framework of project FLUIDNET: A Novel Deep Learning Architecture for Solving Viscoelastic Fluid Flows with reference 2024.13980.PEX, f, funded by national funds through FCT/MCTES, under
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cumulatively meet the following requirements may apply for this grant: a) Hold a PhD degree in Food Consumption and Nutrition Sciences, obtained in the last three years before the application to this grant; b
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knowledge in mechanical vibrations and nonlinear dynamics, demonstrated through scientific publications and successful completion of 2nd and 3rd cycle (Master’s and PhD level) curricular units (proven
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for 1 research grant within the framework of project “Understanding Machine Learning Systems”, financed by Faculdade de Engenharia da Universidade do Porto, under the following conditions: Scientific Area
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carried out within this area: (i) experimental extraction and solubility studies employing greener solvents, particularly choline-based deep eutectic solvents, on representative SSCS and spiked samples
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PhD Positions Application Deadline 5 Feb 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research
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for applications for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration
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2022.09373.PTDC financed by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning/Recommender Systems Admission requirements: Candidates who cumulatively meet the
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(R1) Positions PhD Positions Country Portugal Application Deadline 19 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU