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comfortable with a range of computer programs and childcare-specific software. You are committed to ongoing professional learning and demonstrate integrity, reliability, and a strong sense of responsibility in
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. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters
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to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various
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semester; faculty rotate through different courses as departmental needs dictate. The successful candidate may be asked to teach courses in a distance learning format. This position requires excellent
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a variety of different ways ranging from conducting basic biomedical research, empowering educators, inspiring students, developing the next generation of scientists – even stretching into film and
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. Ability to quickly learn new administrative software platforms. Ability to work well with a team as well as work independently. Strong computer skills including proficiency with Microsoft Office (Outlook
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skills and be able to use various software packages, including custom software specific to the University & general software. Training will be provided when needed. To perform in this role you must also
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Demonstrated proficiency using computer applications, online resources, and other technologies for the classroom. Demonstrated proficiency using an online learning management system such as Blackboard Ultra
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position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers
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financement Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/133293 Requirements Specific Requirements Etudiant(e) titulaire d'un Master II en Statistique / Machine Learning