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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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September 1st, 2025, or as soon as possible. The positions are for two years with potential for extension. We seek outstanding candidates to develop generative-AI-based statistical methods for blood-based
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communication skills Following qualifications will be considered as an advantage: Experience with super-resolution techniques and physics-informed machine learning. Familiarity with explainable AI methods (e.g
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performance in refurbished metal parts and contribute to assessing their environmental impact, including data input for CO₂e analysis tools. Expected start date and duration of employment This is a 1.5–year
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integration. The candidate will further study the role of critical topographical elements such as the Dogger Bank and the Elbe Palaeo Valley and how such may have influenced the landscape evolution and in turn
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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understand how materials interact with soft and hard tissue. Willingness to learn and integrate new methods or technologies, such as bioinformatics and 3D imaging processing. Ability to work both independently
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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leader in developing geophysical methods for groundwater exploration. What we offer We offer a vibrant and inclusive research environment with a strong interdisciplinary foundation and a clear commitment
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. Knowledge of Afrikaans is an advantage. qualitative research experience in Cape Town, preferably in the Cape Flats. familiarity with relevant methods, theories and critical texts related to e.g. multimodal