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-resolution or single-molecule imaging. ● Experience with machine learning/deep learning for bioimage analysis, including model application, validation and/or development. ● Experience with optical development
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. The role will support multidisciplinary work on immersive AI systems for therapy, rehabilitation, research and human-machine interaction, with responsibility for the physical and technical infrastructure
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problems (e.g., optimisation, simulation, statistical analysis, or applied machine learning). ; - Participation in R&D projects with links to real-world or industrial contexts. ; - Relevant scientific
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profile: PhD in Agricultural Sciences;, Bachelor's and Master's degrees in Agronomic Engineering or related field;, Experience in applying machine learning techniques to agronomic data;, Experience in
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to hire one Senior Technician within the framework of the “ Leveraging Interpretable Machine Learning Approaches to Improve Child Health for All: From Single Diseases to Multimorbidity ” project, reference
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modelling, data analysis, and optimisation. Experience with machine learning or surrogate modelling techniques applied to offshore engineering problems. Experience in collaboration with the offshore wind and
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
skills; experience using tools such as Python, MATLAB, Julia, GAMS, Pyomo, CPLEX, or Gurobi; and knowledge of artificial intelligence and machine learning methods applied to consumption forecasting, energy
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developing solutions for locating and manipulating semi-rigid objects or complex geometry. Investigating machine learning strategies with limited data, including the generation of synthetic data in simulation
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state-of-the-art behavioural tracking, electrophysiological recordings, and probabilistic machine learning methods. • Characterise social and behavioural phenotypes in a clinically relevant mouse model
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(R2) Positions PhD Positions Application Deadline 31 Jul 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 22 Jun 2026