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description above and upload it as a PDF in the application. Qualifications and specific competences Applicants for the PhD position should (expect to) have an MSc degree in a computational statistical field
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traditional statistical approaches(i.e., econometrics) to solve real-world problems. Applicants must provide examples of projects or research that involve data manipulation, exploratory data analysis
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Policy Section and work under the supervision of Professor Jeppe Rich. We are looking for excellent applicants with an MSc background in Operational Research, Computer Science, Applied Mathematics
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: Publish impactful work in leading journals and conferences in your field Teach, guide, and supervise BSc and MSc student projects, as well as supervise PhD students Actively participate in creating a robust
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of phytonematology, chemical ecology or phytochemistry Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and preferably
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qualifications The successful candidate must have a MSc in physics, chemistry, chemical engineering, materials science or related areas as well as experience in the general area of catalysis for sustainable energy
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the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English if possible) List
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international conferences. Take advanced classes to improve academic skills. Carry out teaching, teaching support, and BSc. /MSc. co-supervision as part of the overall PhD contract. Qualifications You must have a
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, Mathematics, and Statistics. The position is a full-time position. The expected start date is during the fall of 2024, but we are flexible on the start date. Responsibilities and qualifications We are looking
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/or Python) Ability to work effectively with data and applied statistics Knowledge of power systems or mathematical optimization is appreciated Ability to work in a project team and take responsibility