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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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holidays Relocation package including installation grant (if applicable) Campus life: Free shuttle bus (select sites), on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive
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. Communication efficient learning of deep networks from decentralized data. In Artificial Intelligence and Statistics, PMLR, 2017. [4] Rieke, N., Hancox, J., Li, W. et al. The future of digital health with
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understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models
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, RDkit, OpenBabel) Ability to design, implement and maintain new and existing code, services, workflows and data analysis for research activities Supportive of Open Science initiatives and willing
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of specialized deep learning models (neural network or transformer) for automated segmentation of tibial plateau fractures. iii) The algorithm must then be trained to allow it to learn the morphologies of bone
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off: 30 days annual leave per year in addition to public holidays Campus life: Free shuttle bus to and from work (Heidelberg), on-site library, subsidised on-site gym and cafeteria, casual dress code
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
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With the increasing complexity of numerical simulation codes, new approaches are required to analyze the ever-growing amount of data. This requires coupling up-to-date data analysis libraries with
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focusing on defensive actions or neuromodulation in small neural networks have revealed significant deviations in typical behavioral patterns among larva populations. These deviations either necessitate a