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welcome. Experience in collaborative research work attained through field research, research stays, and/or presentations at international conferences. Proven experience in qualitative social-science methods
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developments, as well as conceptual guidance of cross-project software developments in the field of biodiversity informatics Strategic and content-related representation of the MfN in national and international
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new strategies and methods for risk assessment, improve outbreak management and optimise control of antimicrobial-resistant pathogens. The research is based on the One Health approach, which accounts
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-assembly into superstructures using scattering and microscopy. Develop data analysis protocols for advanced structural and optical characterization methods to assess structural and optical properties of NPL
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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applies mixed methods including qualitative and quantitative approaches and artificial intelligence to identify new avenues for coastal nature-based tourism and to identify and question possible pathways
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Office, Linux proficient in dealing with operating systems and high-performance computing facilities We expect: the ability to work independently and on your own initiative a methodical and systematic
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stakeholders involved in sustainable soil and farm management. This network is intended to promote the exchange of knowledge and practical methods so that farmers can make well-founded decisions about their
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, Marine Geology and Marine Observation works interdisciplinary within a joint research programme. What will be your tasks? This position will be embedded in the overarching programme “STB - Shallow Water