111 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"Department-" positions in Switzerland
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difference that script strictness, an aspiration with human employees, becomes an enforceable parameter with a large language model. The programme comprises laboratory experiments with live voice interaction
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optimization methods and energy system modeling. Key qualifications include: Experience in energy system modeling and optimization Familiarity with optimization methods, such as Mixed Integer Linear Programming
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Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment rate varies
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curves, zero knowledge proofs, post quantum algorithms Interest in the topics of C4DT: digital trust in general, Open Source Software, digital sovereignty Excellent command of several programming languages
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working conditions in an international, innovative environment at a world-leading university. Flexible working hours, professional development opportunities, and work-life balance programs. A high degree of
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. Proficiency in programming and statistics/data science. A genuine passion for music and a solid understanding of music. Fluent English and a collaborative team spirit. We offer World-Class Research: EPFL is a
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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offer You will conduct your research in Empa’s laboratories in Dübendorf and will be enrolled in the doctoral program in Electrical Engineering at ETH Zurich. The project is part of the National Centre
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regardless of origin, gender, age, or background. Our commitments are set out in our Gender Equality Plan. chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In
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scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related