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- UNIVERSIDAD POLITECNICA DE MADRID
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
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Field
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: offenders rely on shared channels — underground forums, marketplaces, and increasingly private or encrypted platforms — to exchange tools, knowledge, and services. The objective of this position is to build
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experience in THz spectroscopy is a plus. Knowledge in electrical characterization will be valuable. Programming skills will be evaluated positively. Communication skills in English are mandatory. Ability
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or signal processing and interpretation will be a plus. Previous knowledge on biomedical signal processing and data analysis. High level of English. Candidates should be ready to enter an official
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Neuroimmunology Research Group: https://vhir.vallhebron.com/ca/recerca/neuroimmunologia-clinica · Cemcat : https://www.cem-cat.org The successful candidate will work on the project “Deciphering the Pathogenic
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/Qualifications Skills in acoustics and audio. Prefereably skills in machine learning and deep learning. Specific Requirements Education in acoustics. Knowledge of acoustical measurement techniques, as
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to apply Website https://www.rfgi.es/ConvocatoriasPropiasFIMABIS/es/Convocatorias/VerConvocatori… Requirements Research FieldMedical sciences » MedicineEducation LevelPhD or equivalent Skills/Qualifications
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, to acquire new knowledge about research tasks. Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50563 Requirements Research FieldPharmacological sciencesEducation LevelMaster Degree
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architectures. Write technical articles for magazines and conferences. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s… Requirements Research FieldPhysics
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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific