32 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" positions in Italy
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6 Mar 2026 Job Information Organisation/Company Università di Pisa Department Dipartimento di Matematica Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 23 Mar 2026 -...
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of Business Intelligence (machine learning & LLM) to enhance the sustainability of regional tourism. On the supply side, a monitoring system is developed by extracting data from online platforms such as Google
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to validate on real samples an innovative genetic panel (4,849 SNPs) developed to infer distant kinship, integrating DNA analysis and machine learning. After testing on simulated genotypes, it will be applied
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: “Towards a trustworthy strategic use of data in machine learning pipelines”. CUP: D53C25002380001. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079
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, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data
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strategic use of data in machine learning pipelines”. CUP: D53C25002380001. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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, application of validated radiological scoring systems, development and validation of AI-based models for automated image analysis, and dissemination of scientific results. Where to apply Website https
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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: nationality/ies: EUROPE Website for additional job details https://trasparenza.uniroma1.it/download/1432020.html Work Location(s) Number of offers available1Company/InstituteDipartimento di Medicina Molecolare
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the RELAB laboratory for the testing and development of machines for indoor air conditioning. Specifically, it concerns the analysis of the machines' noise production, both for internal and external equipment