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experience in several of these areas is desired: Single-molecule experiments and interpretation Advanced data analysis, coding, modeling, machine learning Optics and fluorescence microscopy and/or nanopore
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PhD student position: elucidating chaperone protein function using single-molecule fluorescence/FRET
of these areas is desired: Protein biochemistry (purification, bioconjugation, quality control, etc.) Single-molecule experiments and interpretation Advanced data analysis, coding, machine learning Optics and
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from the machine learning domain to improve data analysis You will be responsible for project meetings, reporting, scientific publications, and conference/seminar presentations You will supervise master
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of econometrics and first experience with statistical programs such as STATA, R, or Python and a high willingness to attain excellent econometrics skills including on machine learning You are fluent in
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neuroimaging data sets in human subjects and the application of conventional and machine learning analysis techniques. It is possible that this project will expand to test patients with motor disorders depending
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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our working and learning environment. Project Description In the framework of the NCCR AntiResist (https://www.nccr-antiresist.ch/en/ ), we are looking for a highly motivated doctoral researcher
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, and cheese and wine country. The city provides easy access to arts and culture, nature and adventure, and short commutes via train/plain/automobile to anywhere in Europe. chevron_right Working, teaching
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achieve. Our research aims to identify and address the energy and carbon inefficiency of modern computer networks. Projects in this area are inherently multidisciplinary as energy consumption is affected by
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under the supervision of the Ambizione grantee, Dr. Minghan Hu. Project background Artificial intelligence enables robotic machines to autonomously adapt to their surroundings and perform complex tasks