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. You will work under the supervision of Dr Ernest Kamavuako (Biomedical Engineering/Physiological Signal Processing), Dr Caroline Jolley (Clinical Respiratory Medicine & Respiratory Muscle Physiology
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try again. 14th May 2024 Languages English English English PhD Research Fellow in Machine Learning/Signal Processing for Planetary Ground Penetrating Radar Apply for this job See advertisement About the
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14th May 2024 Languages English English English PhD Research Fellow in Machine Learning/Signal Processing for Planetary Ground Penetrating Radar Apply for this job See advertisement About the
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how to apply: https://www.jobbnorge.no/en/available-jobs/job/262098/phd-research-fellow-in-machine-learning-signal-processing-for-planetary-ground-penetrating-radar Requirements Research
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crucial duties vital to the smooth operation of the curriculum and student engagements. These include tasks such as coordinating schedules with Clinical Skills team leaders and arranging activities like
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the geotecnologies and academic record. 25 Item nº2 Other degrees (certificate of English level) 15 Item nº3 Experience in research and cv in the field of point cloud processing for the characterization of the urban
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: Applications can be submitted by e-mail: (indicate in the subject REF: JD_2024001 . 1 ) to the address [email protected] The deadline for receiving applications will end on May 1, 2024 at 3:00 p.m. Selection process
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | about 12 hours ago
Description Surface Acoustic Wave (SAW) devices have emerged as promising candidates for the advancement of rapid, low-cost, lab-on-chip point-of-care biosensors. These biosensing devices offer potential
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Qualifications: • Experience with mixed-signal circuit design. • Familiarity with biomedical signal processing or wearable electronics. • Prior research experience in an academic or industrial setting
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semiconductor processes, MEMS technologies and 3D integration to foil electronics. These nano- and microtechnologies are the basis for the other competence areas at Fraunhofer EMFT: sensor solutions, safe and