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to the air. This project aims at developing analytical methods and capacity to sample and quantify volatile PFAS compounds and air emissions from Danish landfills and treatment plants. The project is carried
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data Strong analytical, problem-solving and communication skills Ability to work successfully both independently in a multidisciplinary team of biologists, physicists, and computer scientists Excellent
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related scientific disciplines such as data sciences. We are looking for candidates with strong quantitative, analytical, and problem-solving abilities who are eager to engage in research across emerging
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Postdoc Pathways) If you enjoy working in a very collaborative, supportive and international team, you love writing and improving code, you like analytical thinking and constructive problem-solving, and you
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ore characterization techniques (mechanical, mineralogical, physical). Solid knowledge of comminution technologies and mineral beneficiation processes. Strong analytical and problem-solving skills
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complex systems and identify optimal solutions. Strong analytical skills to translate complex data into actionable insights for research and decision-making. Experience working in multidisciplinary teams
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/ journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in English and ability to work in a team Outstanding analytical and problem-solving skills Employment terms
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English and ability to work in a team. Outstanding analytical and problem-solving skills. Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based
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: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics
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. Exhibit strong analytical and problem-solving skills and the ability to work independently as well as collaboratively in a research team. (Preferred) Possess experience in research grant or funding