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Field
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consortium. As a formal qualification, you must hold a PhD degree (or equivalent). Other qualifications and competences include: Experience with mathematical modelling Experience with toxicology Experience
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external) ) is hiring a post-doctoral researcher for at least one calendar-year (with the possibility of an additional year) to work on a variety of projects requiring expertise in large scale mathematical
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/ijtpp5030016. Required skills / qualifications________________________________ Diplomas : PhD in Engineering, Physics, Theoretical and Applied Mechanics, or Applied Mathematics Experience : None Knowledge
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skills / qualifications________________________________ Diplomas : PhD in Engineering, Physics, Theoretical and Applied Mechanics, or Applied Mathematics Experience : None Knowledge required: Contributions
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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, including grades. Your PhD thesis. Starting date of the position: flexible, currently aimed to start around February 2026. For more information regarding this position, you are welcome to contact Dr. Silke
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
) a Masters or equivalent degree in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on
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and the terms of the research grant when extending an offer. Completion of PhD in Data Science, Computer Science, Mathematics, or other discipline aligned with CDS faculty research by the start date
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work direction, delegation and establishing priorities. Knowledge – Skills – Abilities Biology, chemistry, mathematics, statistics, documentation, records management, and data utilization. Complex
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict