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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Faculty of Science Application deadline 11 May 2025 Apply now Is it your ambition to gain
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, Biomedical Engineering, or related field; You demonstrate strong programming skills in Python and have experience with deep learning frameworks such as PyTorch; You have experience in medical image analysis
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to staff position within a Research Infrastructure? No Offer Description Research project description Minimally invasive surgery has revolutionized medicine by enabling interventions without large
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of Computer Science, Computer Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques
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Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques, hisopathology) is
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on narrative and visual media and takes a comparative, multilingual, and media-specific approach. The subproject 'Images of EcoViolence' will focus on the aesthetic, political, and affective dimensions
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14 Feb 2025 Job Information Organisation/Company Erasmus MC (University Medical Center Rotterdam) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Country Netherlands
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universities, research institutes, industry, and government. We host over 120 researchers, including 15 academia-embedded professors, 30 postdocs, and 50 PhD students. We present the history of our planet and
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, electrophysiology, biomedical signal processing, etc.) and with clinicians and medical researchers is essential, Has preferred experience includes hands-on expertise in in vitro or ex vivo neural stimulation and
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biologically realistic spiking recurrent neural networks (SRNNs). You will use the efficient spike coding framework , in which a network is not trained by a learning paradigm but deduced using mathematically