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preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information
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the Leibniz School of Optics of the DFG Cluster of Excellence PhoenixD. Who are we looking for? The prerequisite for employment is a university science degree in physics/optical technologies or alternatively in
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of Excellence PhoenixD. Who are we looking for? The prerequisite for employment is a university science degree in physics/optical technologies or engineering. In the case of proven technical expertise (in
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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scan data is desired Familiarity with analytical tools such as R or Python for statistical and phylogenetic comparative analyses Experience with scientific writing and publishing in peer-reviewed
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the selection process. Application deadline is Monday, 30th June 2025 before the end of the day. Informal inquiries can be directed to Dr. Uschi Hübner (potenziale-entfalten@med.uni-goettingen.de ), Head of
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years. Remuneration is paid according to TVöD Bund, salary group E13. Application and information We value diversity and welcome all applications regardless of gender, disability, nationality, or ethnic
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years. Remuneration is paid according to TVöD Bund, salary group E13. Application and information: We value diversity and welcome all applications regardless of gender, disability, nationality, or ethnic
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nationalities are welcome. Please note our information on data protection in the application process at: https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im
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) tools for monitoring CO2 reservoirs Use of TensorFlow and PyTorch to process and analyze data related to CO2 transport and storage Development of methods for efficient data transmission and processing