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training component which consists of courses in legal theory, handling of sources, methodological perspectives in legal science, text quality, research dissemination among other things. Some courses are
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scientific dissertation. You will also have to complete a training component which consists of courses in legal theory, handling of sources, methodological perspectives in legal science, text quality, research
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interest in wearable data analysis are an asset Experience from relevant research projects will be considered as positive The candidate should be able to work independently and possess good communication
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are seeking highly motivated candidates with: A Master’s level or equivalent degree in Mathematics, Physics, Bio- or Biomedical engineering, or a closely related discipline with a strong mathematical component
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for advanced analysis and modeling. Key Project Aims – Your Roadmap to Innovation: Data Platform Creation: Design and maintain a state-of-the-art platform to seamlessly integrate complex hormonal data, high
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discipline with a strong mathematical component A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills
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, and scalable infrastructure required for advanced analysis and modeling. Key Project Aims – Your Roadmap to Innovation: Data Platform Creation: Design and maintain a state-of-the-art platform
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. The specialisation has two tracks: Business Economics Dissertation on a topic in business economics, industrial organisation, public finance, asset management, risk analysis, shipping economics, or the economics of
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organisation, public finance, asset management, risk analysis, shipping economics, or the economics of natural resources Management Science Core courses in probability and statistical inference, optimisation
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elements of the heathland mountain flora. Heathlands are a key component of the prehuman vegetation mosaic of central Madagascar and Erica species play an important role in their natural fire ecology