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Statistical Signal Processing, Data Science, Machine Learning with an interest in astrophysics - or a PhD in Astroparticle Physics with skills and professional experience in experimental data analysis. Website
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We are seeking to appoint a Postdoctoral Research Associate (PDRA) to work in the field of the Nonlinear Fourier Transform (NFT) and soliton theory and its applications in optical signal processing
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learning, inverse problems and statistical signal processing. Specific Requirements Ample experience in acoustics research. PhD in Acoustics is required, experience in microphone array processing, acousto
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of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD
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is fixed-term and is available until 31 March 2026. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been
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is fixed-term and is available until 31st March 2026. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been
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point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. We pride ourselves on being
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protocols using a programmable ultrasound platform (Verasonics or Vevo F2) Apply advanced principles in US signal processing and beamforming Formulate and characterize nanoparticles and contrast agents
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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the opportunity to address fundamental questions in EV signaling while contributing to the development of innovative tools for biomedical applications. You will work at the interface of cell biology, molecular