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electrocatalysts. Communication Skills: Excellent written and oral communication abilities in English, with a strong commitment to collaborative research and scientific dissemination. As a formal qualification, you
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knowledge of interactions between nanoparticles and plant leaves. The ability to communicate within a multidisciplinary research consortium is essential. Experience working in a Challenge Project funded by
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to the research group’s research activities by incorporating bioinformatics in e.g., health impact assessments. Communicate research results by presenting data at project meetings and international conferences
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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datasets. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc) Ability to work both independently and as a part of a team. Excellent communication and writing skills in English
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Center (CoaST). These facilities are now equipped with modern graphical user interfaces, unified communication protocols, and structured data pipelines that collect and store experimental data in dedicated
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, coordinating with PhD students and collaborators to avoid bottlenecks, and communicating progress clearly. an open and collaborative mindset, which includes a willingness to share expertise and support the
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, processing, modeling, and interpretation of geophysical and satellite data. You will be expected to communicate effectively with colleagues and work collaboratively to achieve ambitious goals. Additionally
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-reviewed journals, reflecting independent and innovative research capability. Strong interdisciplinary communication skills and the ability to translate complex technical concepts for diverse stakeholders
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. Responsibilities and qualifications The overall aim of the project is to generate new knowledge about how emerging generative AI tools – such as Copilot, speech-to-text systems and retrieval-augmented generation