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Job Description The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark, Odense, invites applications for a PhD position in algorithms. The position has a
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Polytechnique in Paris (France) and potentially also at the IE University in Madrid (Spain) and/or at Ivey Business School (Canada). You will work on developing mathematical optimization methodologies
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degree in engineering, preferably supported by first academic publications Documented experience with simulation and Digital Twins Strong mathematics skills and practical knowledge in 3D modelling Strong
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mechanics or applied mathematics. Preferably, the candidate has experience with: Robotic simulation tools Medical applications Sensors and actuators Scientific writing and presentation Previous publication is
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with embedded systems programming (Preferably) with a strong background in mechanics or applied mathematics. Preferably, the candidate has experience with: Robotic simulation tools Medical applications
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Science, or related disciplines. You have an aptitude for experimental research and data analysis. Experience with programming and/or mathematical modelling is an advantage. Excellent written and oral
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due
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addition to CSK from existing KBs) in targeted avenues such as multipurpose robots, along with mathematical modeling and algorithmic insights Counterbalancing issues such as bias, overfitting, and inexplicable
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. Mathematical modelling skills are of advantage. The candidates are expected to participate in the department’s teaching activities. You must have a two-year master's degree (120 ECTS points) or a similar degree
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due