58 application-programming-android Postdoctoral positions at Technical University of Munich
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will be tested and verified with applications from geodynamics. For more information consider the job description here . Tasks Tasks in the project include the efficient implementation of new models
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pathology images and related medical data in order to detect, segment and quantify diseases such as cancer. Further applications are the discovery of new biomarkers and the prognosis of outcome for patients
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machine and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and
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the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
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with large-scale data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard
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17.11.2022, Wissenschaftliches Personal TUM School of Management at TUM Campus Heilbronn invites applications for a Postdoc position (m/f/x) in the area of Entrepreneurship / Family Enterprise
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of metrology for environmental applications, and monitoring greenhouse gas and pollutant emissions using atmospheric measurements and dispersion models. We are looking to grow our team from June 2022 onwards
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study the degradation/evolution of the sensor chemistries under operating conditions. Qualified applicants must have: • A master's degree/PhD in chemistry, chemical engineering, materials science, or
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international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a three-year contract with the possibility
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application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI, Sparse Labels and