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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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research experience in two of more of the following areas: Computer simulation with vehicle dynamics codes, such as CARSIM, ADAMS, etc. Crash reconstruction of vehicle collisions into roadside safety
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candidate will conduct fundamental research aimed at understanding cell shape dynamics and the cross -talk between cell shape and cell state during epithelial-to-mesenchymal transition (EMT). The aim
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo
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publication track record. The appointee will work on projects of ASIAR at the Institute with ASIAR’s team of postdocs and research assistants. He/She will work under Prof. David A. Palmer’s direct supervision
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help manage and contribute to our program in ex vivo human cell biology and in vivo rodent models, focused on deciphering the cellular and molecular basis for neurodegenerative diseases, including
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, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods. It is also essential that you are highly experienced in setting up continuous
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national/international meetings. The pain research environment at Duke University is excellent. The trainee will also have the opportunity to interact directly with exceptional faculty, postdocs and graduate