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Field
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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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receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available
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of materials to close the CO2 cycle and ultimately allow societies to approach net zero emissions. The current PhD position is funded by the national centre of competence in research (NCCR Catalysis). Job
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, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full
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an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for four
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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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Participate in yearly retreats organized by the doctoral network participants Support the dissemination of software tools and concepts Supervise student projects and BSc/MSc theses Your Profile: Master’s degree
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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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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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-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