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be submitted via our career portal (https://gwzo.jobs.personio.de/ ) or by email (bewerbung(at)leibniz-gwzo.de ). Please note that submitting an application by email may have data protection
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to receiving your application with the usual documents (cover letter, curriculum vitae, certificates) by 18.01.2026, preferably via our online application portal. https://www.museumfuernaturkunde.berlin/en/jobs
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based on machine learning. Reference number 05/25 Your tasks Assessment of GaN technology in possible novel integrated GaN RF front-end configurations - Full duplex in-band transceivers - Integrated down
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information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our
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at Thomas.Hickler(at)Senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https
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to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ With the submission of your application, you consent to your personal data being shared with an external member of
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact Dr
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January 2026 to (see button e-mail application below). https://jobs.zalf.de/jobposting/af3d771faf0a6dcc04a638f8f0d8f039bd501f6f0 If you have any questions, please do not hesitate to contact us: Dr. Ehsan
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in
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on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ With the application you agree