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Field
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and challenging educational portfolio from pure mathematics to applications in the life sciences. Lecture courses and seminars at a high academic level, guest lecturers from all over the world, summer
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light at the quantum limit, and on the other hand to apply this knowledge in order to develop novel spectroscopic tools for medicine, biology and industrial material characterisation. The advertised PhD
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 7 days ago
, eutrophication, biosecurity risks, and dependence on fishmeal and fish oil. Biofloc technology (BFT) is an innovative aquaculture system that recycles carbon and nitrogen waste into valuable microbial biomass
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Department ofHistory and Cultural Studies, our offices are situated on its campus in Berlin Dahlem. Programme The BGSMCS supports doctoral candidates who develop academically well-founded and relevant answers
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
Sep 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 22 Aug 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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. Metallurgy has provided humankind with materials, tools and the associated progress for more than five millennia. It is not only a huge engineering success story but has also become the biggest single
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Graduiertenzentrum Gesellschaftswissenschaften (KIGG) The Inter-University Doctoral Programme in Economics (MAGKS) Circular economy of urban carbon flows through innovative bio-waste recovery pathways (CirCles
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent