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processing, preferably with regard to image processing using artificial intelligence, is required Experience with scoring of plant disease symptoms is a plus but not a requisite Equal opportunities and
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understanding of intersectoral scientific fields ranging from optical fibre communication design and implementation, components fabrication, artificial intelligence, or techno-economic analysis, which represent
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for biology and healthcare; then, the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM), and its integrated Institute of Biological and Medical Imaging (IBMI) at the Helmholtz
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Engineering or a related discipline. Experiences in Machine Learning, Deep Learning and Artificial Intelligence. Strong programming skills (Python) Good knowledge of AI frameworks like TensorFlow, PyTorch
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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well as data processing meth-ods for analyzing block-like structures made of limestone and granite, Evaluation of data using acoustical imaging techniques and passive seismic monitoring, Carrying out
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/intercultural communication Experience in processing imaging data is a plus Experience with the named imaging modalities or other optical technologies for plant phenotyping is a plus Equal opportunities and
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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk