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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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in the European context. Familiarity with the EU LULUCF Regulation and Governance Regulation is considered an asset. Data and modelling skills: Excellent data-analysis skills in R and affinity with
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functionalization. Chemical characterization by different means (FTIR, UV-Vis, electron microscopies, TGA, NMR, EPR and elemental analysis, among others). Morphological characteriztion electron microscopy, (SEM, TEM
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or a closely related field. You bring a solid foundation in areas such as process modelling, thermodynamics, heat and mass transfer, process dynamics and control, optimization or energy-system analysis
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hold a MSc in electrical engineering, materials science, applied physics or other relevant fields. Prioir experience in cleanroom processing and/or thermal or material analysis is highly recommended. TU
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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explore how geometry, wettability, and fluid properties can be harnessed to achieve passive and energy-efficient liquid manipulation. The candidate will combine experiments and theoretical analysis
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biomedical research. How will you contribute? As a PhD Student within the AIM-PACE project, your main responsibilities will include: • Supporting the scoping analysis of the AIM-PACE scenarios and products, as
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nanofabrication, electromagnetic and micromagnetic computational modelling, theoretical and experimental analysis of electromagnetic properties of metamaterials, as well as the fundamentals of microwave
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level 2 Workforce training Meet our facilitators Meet our consultants Meet our leadership and management teams Learning design and innovation Hybrid working solutions Training needs analysis