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in text categorization, with a focus on language identification in texts. Well-defined and reliable open-set language identification methods will impact research fields that depend on resources created
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Strong motivation to learn new methods and work independently, and as part of the team. Prior experience in one or several of the following: protein biochemistry, cell culture techniques, fluorescence
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sequencing, high-resolution microscopy imaging, and data science methods. The second project focuses on providing service packages for single-cell and spatial omics research, as well as multimodal data
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for applying for the post, what is your motivation in pursuing a research career, what are two important research questions in the field of GNSS integration with LEO-PNT, and what methods could be used
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, at the Division of Pharmaceutical Chemistry and Technology. Our aim is to create new machine learning and artificial intelligence methods to accelerate drug development. The successful candidate will contribute
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will be evaluated based on the following criteria: scientific and societal relevance, goals, theoretical framework and concepts, mastery of research literature, plan for data collection and methods
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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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drug design” is led by Docent Juri Timonen, at the Division of Pharmaceutical Chemistry and Technology. Our aim is to create new machine learning and artificial intelligence methods to accelerate drug
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A strong interest in Decadence studies and interdisciplinary research Interest in methods of analysing popular music A strong academic performance Key responsibilities The position is available for 48