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challenges in developing future BCIs is to increase the number of brain signal channels while keeping the system very small and energy-efficient. This is very important for implantable or wearable systems
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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engineering and wave-wind theories is advantageous 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
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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Environments (VLE), serious gaming, agent-based simulation, knowledge of relevant research methodologies and and practical experience with adequate state-of-the-art tools Very strong skills in coding (e.g
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/ProvinceOdenseCityOdensePostal Code5230StreetCampusvej 55Geofield Contact City Odense Website https://cheminf.imada.sdu.dk/ Street Campusvej 55 Postal Code 5230 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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Optional: a separate page containing examples of python code you’ve written for bioinformatics projects or links to relevant repositories (e.g. GitHub) You may apply prior to obtaining your master's degree
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pulses develop numerical codes to calculate the system dynamics by solving partial differential equations (e.g. Schrödinger equation, von Neumann equation) model the coupling to lattice vibrations (i.e
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include: A letter motivating the application (cover letter) Curriculum vitae Links to webpages, GitHub repositories, YouTube channels reporting your work in the field of autonomous robotic systems Grade
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1Geofield Contact City Roskilde Website https://ruc.dk/doctoral-school-science-and-environment Street Universitetsvej 1, Postbox 260 Postal Code 40000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn