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Field
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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the sections of Kl, Machine Learning and Deep Learning are your foundation. Are you proficient in relevant frameworks such as PyTorch, TensorFlow or Huggingface? Perfect! Additional experience in data (pre
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controlling soil-plant interactions and to extend the gained understanding to the large scale to be used in precision agricultural management Connect novel processing and inversion techniques to experimental
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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, large data sets for each individual patient are already routinely collected and systematically recorded. A further increase in complexity is expected in the coming years due to increasing use of molecular
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support by your scientific supervisor(s) A large research campus in the countryside, which offers the best opportunities for networking with colleagues as well as for a sporty balance besides work Best
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cornerstone of medical treatment. A large portion of all hospital patients suffer from multiple diseases and are already undergoing a complex drug therapy at the time of admission. For the most successful
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-level modeling, or computer architectures or even quantum computers can be helpful but is not necessary Enthusiasm for unconventional, interesting interdisciplinary work - especially at the intersection
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Denmark, Luxembourg or Switzerland, but they are rather high compared to countries like Poland, the Czech Republic or Italy. Compared to other large German cities, such as Munich, Berlin or Hamburg
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at the Fraunhofer ITWM work on projects in high-tech and low-tech companies, in small and medium-sized enterprises as well as in large-scale industry - regionally and internationally. You would like to work with us