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biological environments - Experience using machine‑learning algorithms for luminescence signal analysis and sensing applications - Experience writing scientific articles and presenting results at conferences
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to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. In
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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scientific papers Collaborate with neuroradiologists and neurologists in satellite projects Where to apply Website https://jobs.vhir.org/jobs/6646119-postdoctoral-researcher-neuroradiology Requirements
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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apply statistical and machine learning models to identify predictive markers of depression. Design and execute experimental protocols related to self- representation and chronic pain. Prepare manuscripts
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. The successful candidate will be joining the Quantum Optics Theory group led by Prof. Dr. Maciej Lewenstein. The successful candidate will work on Machine Learning research. Share this opening! Use the following
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scientific papers Collaborate with neuroradiologists and neurologists in satellite projects Where to apply Website https://jobs.vhir.org/jobs/6646119-postdoctoral-researcher-neuroradiology Requirements
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in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international collaboration meetings, schools and workshops. Development of transferable
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. This postdoctoral research position is part of a EU-funded collaborative project HYDROHEAL (https://www.hydroheal.eu/ ) with a total of 13 partners (7 academic and 6 industrial partners) from Spain, UK, Italy