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chemical reactions and assembling functional nanomaterials from bottom-up in scanning tunnelling microscopy (STM). The project is tightly linked to machine learning algorithms in images (image classifier
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, including: Robot Learning: Creating algorithms that empower robots to learn autonomously from interactions and adjust to new tasks. Manipulation: Enhancing techniques for precise and adaptable object handling
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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, estimation, and identification algorithms that directly interface with physical hardware. We work closely with industry partners. Our research has led to several methods now used in commercial products. We
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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consists of three major parts: sensor printing, circuit design and integration and developing of an AI algorithm and using it to teach the sensor to selectively measure desired gases . In this role, you will
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high in quality of life and was just listed again as the happiest country in the world: World Happiness Report 2025: People are much kinder than we expect, research shows | The World Happiness Report
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and how the research fits to the Nonlinear Systems and Control group (max. 1 page) Curriculum vitae (include the contact details of at least two references, and if available, a list of publications) PDF
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for references List of publications (with 10 most relevant publications regarding this position highlighted) Research statement describing your research experience and detailed plans for future research and
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. Interviews of short-listed candidates will be held in late-September. Your application should include all following documents. Cover letter Curriculum Vitae List of publications and working papers Aalto