Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- ICN2
- Universidad de Alicante
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- UNIVERSIDAD POLITECNICA DE MADRID
- Agency for Management of University and Research Grants (AGAUR)
- BARCELONA SUPERCOMPUTING CENTER
- Barcelona Beta Brain Research Center
- CIC energiGUNE
- Centre for Genomic Regulation
- Fundació per a la Universitat Oberta de Catalunya
- IDIVAL
- IRTA
- ISGLOBAL
- Institute for bioengineering of Catalonia, IBEC
- Instituto de Neurociencias de Alicante, CSIC-UMH
- Polytechnic University of Catalonia
- UNIVERSIDAD PUBLICA DE NAVARRA
- Universidad Nebrija
- Universidad de Alcalá
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de Barcelona
- University of A Coruña
- University of Lleida
- 14 more »
- « less
-
Field
-
transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
-
-scalar integration or AI applied to biomedicine. Expert knowledge of causal analysis methods, biological network modelling, machine learning and deep learning. Experience in collaborative environments with
-
Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 31 Oct 2025 - 21:50 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
-
the application). OTHER REQUIREMENTS Training as a Biologist specializing in Immunology (Proof must be provided with the application). University training in Machine Learning (Proof must be provided with
-
26 Sep 2025 Job Information Organisation/Company Universidad de Alicante Department University Institute for Computer Research Research Field Technology » Other Researcher Profile Other Profession
-
children's behaviour in their learning process with interactive devices and the influence of their peers. The aim is to advance theory and empirical knowledge about learning processes and child development
-
projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
-
the job profile (sections 2 and 3 of this annex), as well as to: Programming in Python Use of machine learning libraries: TensorFlow, PyTorch and scikit-learn Development of supervised and unsupervised
-
causal modelling. Provide methodological and analytical support to projects aimed at personalised and predictive medicine. Application of artificial intelligence: Provide support in AI and machine learning
-
of research staff (contract type: open-ended contract; job category: senior technologist) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals