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://www.hot.uni-hannover.de/en/research-groups/phytophotonics Please submit your application and supporting documents by June 29, 2025 electronically to Email: dag.heinemann@hot.uni-hannover.de or alternatively
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of selection for this job advertisement. Attention is hereby drawn to the risks involved in sending documents electronically. Further information on TROPOS can be found on the homepage: www.tropos.de and in
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of academic work (max. 10 pages) Copies of degree certificates and diplomas Proof of your language skills Please submit all documents in one collated PDF file to Silke Engelhardt by email (ambivalent-enmity
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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(if applicable) by August 28, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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@es.uni-tuebingen.de . Enquiries may also be sent to this email address. Application deadline: July 20, 2025 Equally qualified applicants with disabilities will be given preference in the hiring process
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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(IHRS NanoNet) is an interdisciplinary research school in the field of molecular electronics open to outstanding students of all nationalities with backgrounds in physics, chemistry, electrical
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the institutes of the DRESDEN-concept environment. The chair hosts its own computer cluster and has full access to the high-performance computing infrastructure at ZIH Dresden, one of Germany’s leading
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applications ranging from Computational Physics, Computational Finance to Computational Electronics. For more details see https://acm.uni-wuppertal.de/en/ . A successful applicant is expected to have a