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because they enable learners to monitor their own understanding, recognize uncertainty, detect errors, and regulate their behavior accordingly. The PhD project will examine how metacognitive monitoring and
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uncertainty, detect errors, and regulate their behavior accordingly. The PhD project will examine how metacognitive monitoring and regulation develop across different age groups and within individuals over time
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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closely with the Principal Investigator, a postdoctoral researcher, and other group members while contributing to a supportive and communicative group culture. Profile We are looking for a candidate that is
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with the statistical grounding to reason about the models you use ● A GitHub account with code you have written ● Fluent English Desirable: ● Experience with single-cell or spatial genomics data ● Contributions to open
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(fluid dynamics) is highly beneficial Experience with statistical analysis, coding (R or Python), and digital modelling strongly preferred Willingness to travel (minimum to UK for experimental work
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in their own right and not as deployment afterthoughts. You will work alongside researchers and engineers in an international team and will have the room to shape the direction of your own thesis
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-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together with the statistical grounding to reason about the models you use ● A GitHub account with code you have
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5Geofield Contact City Bellinzona Website http://www.irb.usi.ch Street Via Chiesa, 5 Postal Code 6500 E-Mail [email protected] STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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/empa/3/*/---/l=2 Postal Code CH-8600 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail