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- Senckenberg Gesellschaft fuer Naturforschung
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disabilities. Applicants with disabilities will be given preference if they have essentially the same qualifications, abilities, and professional performance. The position is suitable for disabled persons
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to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical models and
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of functioning of tropical and subtropical grasslands. What we expect from you • University degree (M.Sc.) and Ph.D. in Agricultural Science, Biology, Ecology, Environmental Science or a related field. • Thorough
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biotechnologically and agriculturally important quality and yield traits and allow the generation of crops, which are beneficial for the society in terms of foodsecurity (improved plant performance and stress
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@tum.de. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection
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performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take
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or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as graph processing
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remote sensing data using High-Performance Computing at LRZ Publication of the results in scientific journals Assistance in teaching REQUIREMENTS: An above-average degree in mathematics, computer science
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rankings in research and teaching. Our group “Sustainable Energy Materials” concentrates on the preparation of heterogeneous catalysts and the understanding of structure-performance indicators in
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surface structures and microstructures using various spectroscopic and microscopic techniques including but not limited to SEM, XRD, TEM, XPS. • Evaluate the gas sensing properties and performance