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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research consists in the development of artificial intelligence models
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validation in collaboration with the team. • Development of neuromorphic learning models based on the equilibrium propagation algorithm • Design of local learning rules for magnetic skyrmion systems
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. Carry out the development, simulation and evaluation of algorithms. Participate in the writing of scientific documents and articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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Deadline: 23 August 2026 Details This PhD project develops methods for the reliable, explainable, and efficient post-training adaptation of large language models, ensuring behavioural changes are effective
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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Number: R153428 Research Technician to work under guidance from the Principal Investigator (PI) to develop and implement image analysis algorithms; assists with application of image analysis tools
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RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply
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3 – Quantum algorithms for data clustering: Clustering algorithms are of fundamental importance when dealing with large unstructured datasets and discovering new patterns and correlations therein
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PhD in organic chemistry (M/F) – Development of self-optimizing flow reactors for chemical reactions
aims at 1/ developing a new optimization algorithm, 2/ improving the graphical user interface (GUI) of a process-control software already developed in the team, 3/ Developing an interface to collect data
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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and