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language technologies, such as: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation (CAT), Terminology Extraction and Management, Quality Assurance; experience working with professional
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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: PhD in a highly quantitative subject, such as, but not limited to, atmospheric or climate science
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A job market paper that demonstrates your skills and research programme (can be either solo or co-authored) Aalto University reserves the right for justified reasons to leave the position open or
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element biology, repetitive sequence analysis, or genome regulation. You will be proficient in developing reproducible computational pipelines for large-scale sequencing datasets, with strong programming
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research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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neuroscience, physiology, biology, or a related field. Research Experience & Technical Skills You must have: Experience in task programming and neuroimaging data analysis, including fMRI collection and analysis
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measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research at the forefront of their field
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required to conduct astronomy from the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3
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. This work is part of European Union’s Quantera Program project “MQSens: Quantum Sensing with Nonclassical Mechanical Oscillators”, where opto-/electromechanics is utilized to explore how quantum protocols can