46 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"Prof"-"https:" positions at ETH Zurich in Switzerland
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The ETH AI Center offers a unique fellowship program for doctoral students, designed to foster interdisciplinary collaboration and a positive impact to society. The ETH AI Center promotes
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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.) Expected duration of Master Internship Requirements Linux and git usage and configuration Programming with scripting languages (e.g. Bash or Python) REST APIs familiarity Problem decomposition Good
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software engineer. You have solid experience in multiple programming languages, in particular Python. Experience working with plugin systems is a big plus. Familiarity with continuous integration pipelines is an
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working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential. Knowledge of deep learning approaches and
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Sciences with strong IT/programming skills, or in Computer Science/Physics with interest in geoscience and sensors, to support sensor-noise analysis, calibration workflows, and seismic-coverage modelling
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in PBF of plastics (whole chain). Develop and test new materials, additives, and processing strategies including printing & testing of parts. Plan and execute laboratory experiments (incl. DoE) with
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background ETH Zurich is seeking a dynamic and highly organized professional to co-lead the ETHInvestor Connect Program. This position provides a unique opportunity to work at the intersection of deeptech
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and waste-free chemical industry for a sustainable society. Jointly led by ETH Zurich and EPFL since 2020, the research program is funded by the Swiss National Science Foundation (SNSF) and currently
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal