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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 22 hours ago
, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by an internationally
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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research award programme, come to our online event and get information on the award and the application process from us directly. Click here for the next events. Our sponsorship The award amount is €80,000
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of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria Outstanding Computer Science or Engineering student Knowledge of data
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the actual time of the PhD. We are happy to offer final exam support. List of doctoral programmes and other offers MD/PhD programme in Molecular Medicine PhD programme in Infection Biology / Dynamics of Host
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PhD Scholarship – Feasibility, Acceptability and Utility of a Person-Centred Behaviour Change Program to Slow Cognitive Decline in Older Adults Job No.: 677725 Location: Clayton campus Employment
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research