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A Doctoral Research Fellowship in Machine Learning for Critical Healthcare is available at the Faculty of Computer Sciences, Engineering and Economics at Østfold University College (ØUC). The research
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for physiological signal recording. An ability to work independently and collaboratively across disciplines will be essential. Excellent communication skills in English, both written and spoken, are required, and
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano
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schematics, layout, test benches and simulation Design blocks as Op-amp, LDO, VCO, PLL, voltage or current reference circuits Develop innovative analog design solutions to enhance signal integrity, noise
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description shall not exceed 3 pages, literature references included. It must include a description of the topic, research question(s) and a reasoning of the choices. It should also indicate the methodologies
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, please indicate that you are applying to the ‘SoSS 2025 Psychology PhD scholarship’ in the field that asks how you will fund your studies, and include the name of your prospective main supervisor in
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sciences Economic and Administrative sciences Maritime sciences Social sciences and Humanities. The Faculty is also responsible for PhD programmes in computer technology, innovation and regional development
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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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additional conditions regarding cultural, political, religious, or social involvement. If you have any questions about the application procedure or selection criteria, you can contact the Student Advice and
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life experience to apply. If applicants indicate they have disabilities or gaps in their CV, their details may be used anonymously for the purposes of governmental annual review. Contact information