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Field
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of black-box machine learning models such as deep neural networks, they have severe drawbacks and limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable
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— employees have access to a comprehensive training catalog covering both foundational and advanced topics, from data science and AI to coding best practices, cloud platforms, green IT, and soft skills. OCTO
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their own individual talents. Belonging to the best research universities in Europe and joining forces with prestigious partner universities and networks, we are truly an international place of knowledge
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Triggering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral Candidates (DCs) capable of tackling
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Board has decided to open an international selection competition for PhDs to carry out research activities, under a fixed-term employment contract, in accordance with the Labor Code. This announcement is
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workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and limitations. The field of interpretable machine learning aims to fill this gap by developing
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participation in top international conferences to present your work Participate in yearly retreats organized by the doctoral network participants Support the dissemination of software tools and concepts Supervise
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-Raman spectroscopy and electron microscopy, as evidenced by publications in international peer-reviewed journals; Experience in participating in projects and networks. 3. Job description: As a PhD
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Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in the field of Energy Infrastructure, Maritime Economics, Ports
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ministries, municipalities, consultancies, and network organizations that have a similar aim. Accordingly, the PhD candidate will work closely with both other academics and practitioners to increase