49 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" positions at EPFL
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Laboratory Manager to oversee and implement data management and regulatory compliance and support the laboratory’s experimental research. The role involves laboratory organisation, equipment maintenance
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) as needed Your profile University degree (Bachelor's or Master's) in Computer Science, Data Science, or a related technical field Prior experience as a TA, head TA, or in course/program coordination
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both the School of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. We are recruiting a postdoctoral researcher with strong expertise in modern AI, in
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-class engineering institution that hosts state-of-the-art experimental facilities and a rich and vibrant scientific and entrepreneurial community. Information Only applications submitted through
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year Reference: Only applications submitted through the online platform are considered. Please apply by uploading a single pdf file containing supporting information such as cover letter, CV, transcript
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the implementation of the project. Perform tTIS simulations using realistic head models. Assist with the preparation, execution, and documentation of experimental studies. Contribute to data collection, management
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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data
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the expertise, methods, and software to enhance privacy, data protection, and transparency; notably by the use of cryptography, blockchains and smart contracts, machine learning, software verification, device and
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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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ablation studies comparing algorithms, reward functions, data mixtures, hyperparameters, and infrastructure settings. Evaluate model behavior across reasoning, coding, mathematics, instruction-following