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are recruiting three PhD students with distinct research foci: PHD 1: The functional role of neural rhuthms for inter-area brain network communicartion PHD2: The neural code for multi-item representation in
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. Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable. Ability to work independently and take initiative in planning and executing
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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coding in Python. Strong problem-solving skills and an innovative mindset. Ability to work both independently and collaboratively within a multidisciplinary and international research team. Fluent
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learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose mother tongue is not English must meet any one or a combination of the following: A
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other deliverables. Your experience and profile You have/are; a MSc degree in Biology, Neuroscience/(neuro-)immunology, or related fields; preferably experience with big data and omics analyses and coding
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universitet Postal Code 20506 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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/ Street Akademivej, bygning 358 Postal Code 2800 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University's Faculty Code
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hydrological community. Alternatively, it is well known that Neural ODEs [2] are capable of representing dynamic systems that are coded in ODEs. They can encapsulate the complex temporal dependencies and