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recovery and recycling processes, particularly dealing with the critical, strategic, and rare earth elements. Hands-on experience in up-scaling hydrometallurgical process and analytical skills on XRD, SEM
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publication list. You have well developed analytical and problem-solving skills. The candidate should have very good knowledge of the English language, such as written and oral skills since communication is
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meritorious, but not essential, especially if prior experience with similar frameworks or methods can be demonstrated. You are analytical, self-motivated, and able to work independently while also contributing
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. Additionally, you possess solid analytical skills and approach complex problems in a structured and solution-oriented manner. The workplace You will work at the Division of Communication Systems
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. The research explores how AI, IoT, digital twins and data analytics can be integrated into early stages of product and production development to enable resilient, circular and long-term competitive solutions
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assuming responsibility. You are self-motivated, pay attention to detail, and possess problem-solving analytical ability. You are expected to be somewhat accustomed to teaching, and to demonstrate good
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are self-driven, eager to learn, and possess good analytical problem-solving skills Programming skills in Python or Matlab. You are expected to be somewhat accustomed to teaching, and to demonstrate
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combining analytical chemistry, isotopic geochemistry, environmental forensics and environmental mineralogy. Research and education in this subject address environmental issues tied to the mining industry
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must be completed by the time of appointment. The ideal candidate will demonstrate outstanding analytical and quantitative modelling skills, with strong programming proficiency. Experience with MATLAB
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to the project aims 2. Analytical foundations (theories and concepts) 3. Research methods and feasibility and 4. Expected outcomes and contributions in line with the project goals. Applications must be submitted