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Field
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As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate program, which includes tailored training, workshops, retreats
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quantification and mapping of the high-dimensional correlation structure across multiple traits, quantification of trait variation that arises from new mutations, development and applications of analysis methods
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at a fast pace and where close interaction between technical development and market strategy is essential. It is important that you are structured, proactive, and comfortable engaging with external
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As the aerospace sector pushes the boundaries of aircraft performance – and sustainable operations – with highly flexible primary structures (such as high-aspect-ratio and morphing wings
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are structured in your way of working. Personal qualities That you can independently plan and carry out research in the field of the position and that you are responsible and open to learning new things
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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and in a structured manner and demonstrate good collaborative skills. Training in either numerical model use and development, or in a quantitative approach to geosciences, is a requirement. Basic
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- Ideally, knowledge of driving simulation software (e.g., SILAB) - Experience in the design, implementation, and evaluation of empirical studies - Ability to work in a team, structured approach to work, and
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computational work involves protein structure prediction Publications in high impact factor journals Knowledge and experience in AMR, Artificial Intelligence in health and food systems Good laboratory skills
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Study static spin structures and compute the dynamic (time-dependent) magnetization response, where the intermediate scattering function serves as the key neutron scattering observable Contribute