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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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like PyTorch or TensorFlow Strong analytical and communication skills, creativity, and the ability to work independently while collaborating in a team-oriented environment Our Offer: We work on the very
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networks (PDNs) to improve power efficiency and preserve power integrity. Integrated voltage regulators (IVRs) with integrated passives can play a key role as a part of the PDN in enhancing power efficiency
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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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. The applicant should furthermore have a strong drive towards performing fundamental research; the ability and interest to work collaboratively; and strong communication skills. The applicant should be able
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the respective occupation of the job position offered. 24. Non-discrimination and equal access policy: REQUIMTE – Chemistry and Technology Network – Association actively promotes a policy of non-discrimination and
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related field. Solid background in dynamical systems, modeling, and control. Some programming experience Strong analytical mindset and problem-solving attitude. Good communication skills and the ability
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concepts, aerothermal turbomachinery design, and aeroacoustics. We have a strong national and European network and you will use and master both the state-of-the-art and novel numerical design tools at GKN
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
transmembrane cargo proteins and drive the formation of transport carriers within the endosomal network. In this mission, we primarily rely on cryo-ET and subtomogram averaging to visualize molecular machines in