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learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a demonstrated ability
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carried out as part of this position. More specifically, life cycle analyses of certain equipment in the audiovisual media distribution chain will be carried out. Particular attention will be paid
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systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing on the development and performance assessment of externally bonded CFRP reinforcements using
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the HySuccess project that is part of the national research and innovation programme Groenvermogen. In addition, you will contribute to a related project that studies hydrogen discourse in the Global South
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compositions, testing their performance upon AM, and validating the approach by manufacturing AM test parts. You will be in charge of this last part performing cavitation erosion and fatigue testing of the as
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helpful within their capabilities, e.g. SLiM and MGDrive. A key element of the role is to select appropriate methods to address the questions in hand. Nominal start date is Jan 2026 but potentially
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than 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and
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of public health data Ability to work as part of a multi-disciplinary team Physical Requirements & Working Conditions None Degree Requirement Listed degree qualification is required at time of application
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. Strong mathematical or statistical skills. Ability to work as part of a multi-disciplinary team. Physical Requirements & Working Conditions None Degree Requirement Listed degree qualification is required
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related to staff position within a Research Infrastructure? Yes Offer Description Who we are ? Télécom Paris, part of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de