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collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Team Worker Initiative in Research and
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infectious respiratory diseases across sub-Saharan Africa. During this PhD, the selected candidate will contribute to the development of deep learning and machine learning methods for the detection
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Networks and Services (PONS) Research Unit (https://www.cttc.cat/packet-optical-networks-and-services-pons/ ) is looking for a PhD candidate to actively participate in the team activities in the framework
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selection process for an indefinite employment contract within the framework of a Line of Research Research line: Machine learning applications https://www.upv.es/entidades/SRH/conypi/A1268833.pdf Where
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(Machine Learning Force Fields, ML-FF) to simulate gas-phase fragmentation processes via molecular dynamics. Design and maintain a project-focused results database (schema, metadata, upload/retrieval scripts
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PhD Positions Country Spain Application Deadline 17 Nov 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jan 2026 Is the job funded
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related field. Strong publication record in reputable journals or conferences, or equivalent research experience. Proven expertise in data analysis, statistical modelling, and/or machine learning. Advanced
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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation
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and Hugging Face. – Working with machine and deep learning models, including recurrent neural networks (RNNs), transformers and embedding techniques (Word2Vec, GloVe, BERT). – Designing and
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meetings at the University of Alicante. 2.6. Tasks to be carried out: Design and development of machine and deep learning models. Processing of volumetric data and images. Extraction of biomedical markers