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Field
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of detecting VEP and ERG signals for two-photon visual stimuli, - redesign the optical path for retinal stimulation in existing ORG set-up, - perform ORG, VEP and ERG measurements on healthy volunteers
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Program – 1st Edition, in accordance with the Statute of Scientific Research Career, approved by Law No. 55/2025, of April 28. 2. The competitive procedure is intended to fill 1 (one) job
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
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- Collaboration with technical and scientific staff -High motivation -Enthusiasm -Organizational skills Specific Requirements Requirements Those candidatures that do not meet this point will be excluded -PhD in
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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host signaling in response to cellular damage. The lab has established multidisciplinary collaborations with PIs with WashU Medicine and externally. The exceptional academic environment and strong
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Professional qualifications (required) Relevant PhD degree (e.g. computer science, machine learning, statistics) Experience in developing deep learning models for 3D point cloud data Strong programming skills
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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
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photobioreactors (PBRs) to outdoor, low-energy systems. While closed PBRS ensure rigorous control of environmental variables and high areal productivity, recent comparative studies indicate that open raceway ponds
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project supported by funds from the Economic and Social Research Council (ESRC). The project aims to examine emotion processing and emotion regulation in people with convictions for sexual and violent