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. Characterise and optimise the algorithm for signal data processing for real-time cell analysis and sorting Develop a user-interface platform for end-user testing of clinical samples. Support lab procurement and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 21 hours ago
knowledge in non-invasive neural interfaces. Preferred factors: Experience in neurofeedback or BCIs, EEG signal processing, and excellent writing skills in English. Prior use of VR will be considered as an
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. QUALIFICATIONS Successful applicants will have: PhD in Biomedical Engineering, Ultrasonics, Medical Imaging, Applied Physics, or related field Experience with imbedded hardware, signal processing, and programming
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Speirs. The University of Aberdeen is home to the Aberdeen Computational Biology Forum, which brings together biomedical scientists, statisticians, computer scientists and physicists from across
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to the project using semiconductor processing and quantum technology. The PhD Research Fellow will be affiliated with the Solid State Physics and Quantum Technology group with around 60 highly dedicated professors
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imaging. Key Responsibilities: Design and carry out ultrasonic experiments and develop signal processing techniques Develop theories of acoustic wave propagation in complex materials Design numerical
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, Biological Engineering, Bioengineering, Biomedical Engineering, Analytical Chemistry, Micro-technology, Microengineering, Biotechnology. Application procedure The call for applications is open until the 25th
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 16 days ago
of an expanded carrier screening in Portugal: a patient, healthcare professionals and researchers’ innovation project”, ref. - COMPETE2030-FEDER-00685400, Operation No. 15747, funded by COMPETE2030 and national
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and other approaches to understand the mechanisms underlying islet microvasculature dysfunction and blood flow changes in type1 diabetes. This can include applying advanced signal processing approaches