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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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(see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) knowledge in EcoDesign, climate sciences and life-cycle assessments project management knowledge of the host
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). Knowledge of computer architectures. Knowledge of embedded systems. Knowledge of developing systems with systems-on-a-chip (SoC) and FPGAs. Knowledge of scheduling is desirable. Motivation to pursue a
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science. The program complements the MICROSTAR initiative, forming the HUMAN–MICROSTAR Alliance — a unified framework bridging host- and microbe-focused infection biology. More details: https
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framework bridging host- and microbe-focused infection biology. More details: https://www.helmholtz-hzi.de/en/research/research-program/human-microstar/
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contact details). Website for additional job details http://www.hipovor.eu Work Location(s) Number of offers available1Company/InstituteInstitute of Applied Optics (ITO) CountryGermanyCityStuttgartPostal
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-Leitfaden Formatvorlage“ und dem „Bewerbungs-Formblatt“ der Medizinischen Fakultät Mannheim der Universität Heidelberg siehe: https://www.umm.uni-heidelberg.de/karriere/berufung/ werden bis zum14. März 2026
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programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description You will teach and assess mainly in vocational education programmes in the field of Nursing (Bachelor and
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) Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data Establishment of a data processing pipeline for the efficient
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal