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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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, 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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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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outlook. We expect you to have good communication and personal interaction skills and to be fluent in English. As a formal qualification, you must hold a PhD degree (or equivalent). Further information
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multidisciplinary team Evidence of strong communication and scientific writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research
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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
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, and excellent collaboration skills. You will be responsible for the collection, processing, modeling, and interpretation of geophysical and satellite data. You will be expected to communicate
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discovery, diffusion-based generative models, or other related fields. High level of motivation and creative problem-solving skills. Excellent communication and writing skills in English. As a formal
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resources Help foster a positive, inclusive, and collaborative group culture, supporting newcomers Communicate results in scientific publications and at international conferences Qualifications Must-have: PhD
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communication skills are required for this position. We are seeking a bright and empathic person with a PhD in materials science, materials science in soft and biomaterials, MEMS processes, advanced lithography