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, their achievements and productivity to the success of the whole institution. At the Cluster of Excellence „Physics of Life” (PoL), the Heisenberg Chair of Biological Algorithms (Prof. Dr. Benjamin Friedrich) offers a
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on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine learning. We
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environment for pursuing doctoral studies in advanced computer science. We offer a stimulating, top-notch international research environment covering a wide variety of research areas, such as algorithms and
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and developmental biology, mechanobiology, stem cells and differentiation, network reconstruction and systems biology, proteomics, genomics, metabolomics, sequencing and algorithms, computational
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expertise in the field of magnetic resonance imaging at 7T and susceptibility mapping Develop and implement MRI sequences, acceleration techniques and A.I. algorithms for the acquisition and analysis
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international partners. Become part of our team PhD student (f/m/d) Work schedule: 65 % of the regular weekly working hours (currently 25 hours and 37 minutes) Duration: at the earliest possible date
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mathematical problem-solving skills Enjoy applied mathematical optimisation and motivation to implement your models and algorithms in software Ideally knowledge of mathematical modelling and numerical methods
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 8 days ago
, and support for those caring for family members and relatives. The MPIDR also practices flexible working-time models, which include at least one home office day per week, and scheduling meetings only
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05.04.2023, Wissenschaftliches Personal We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated
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05.04.2023, Wissenschaftliches Personal We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated