35 parallel-processing-bioinformatics-"DIFFER" Postdoctoral research jobs at Technical University of Munich in Germany
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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sense of touch with low-magnitude normal and shear forces as well as sensing of multiple contact points. Additionally, the end effectors need to be modular to handle different surgical tools. Furthermore
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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detection, segmentation, and quantification of diseases such as cancer, the generation of novel representations of pathology data for further processing, or the discovery of virtual biomarkers for patients
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-to-abate sectors, but it is not yet economically viable in most cases. This postdoc position investigates the impact of different financing schemes (e.g., public, private, blended) on the feasibility
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A
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(> 8.000€/year) for travel and participation in international conferences and workshops is available. Application Procedure Please submit the requested documents via MathJobs.org: 1. Motivation letter 2
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conditions, to large field-scale experiments with wild and domestic grazers. These experiments will test hypotheses related to the effects on nutrient cycling of grazers with different body size and grazing
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experiments with wild and domestic grazers. These experiments will test hypotheses related to the effects on nutrient cycling of grazers with different body size and grazing habits and duration of grazing under
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the collection and processing of personal data as part of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information. Find out more about us at