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skills in English, including evidence of independent manuscript or thesis writing. Ability to work both independently and collaboratively in an international, interdisciplinary team. Commitment to open
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
engage with international and national partners across multiple institutions. Drive innovation in the design and development of miniaturized imaging technologies. Your profile Ph.D. in natural sciences
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language. Ability to work both independently with minimal supervision and in a team setting (collaborative in nature) Excellent written and verbal communication skills (must be able to present project ideas
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, Genomics, Bioinformatics or related fields. Applicants should be self-driven, motivated and capable of planning and conducting independent research while being willing to collaborate in an international and
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research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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: - publication of at least six scientific papers in journals listed in the register of scientific journals and peer-reviewed international conference proceedings of the Polish Ministry of Science and Higher
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with engineered coastal defence structures, natural defences, single and multiple buildings with different characteristics founded on solid and mobile sediment beds. This rich dataset has only been