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higher education credits in the subjects of physics, computer science, mathematics, mathematical statistics, or related areas, of which at least 30 credits must be at the advanced (master's) level. Courses
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at the master's level, At least 90 ECTS credits in Economics and At least 15 ECTS credits in Statistics. As the language of research and teaching at JIBS is English, you must be fluent in both written and spoken
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Computational Physics, the applicant must have completed at least 90 higher education credits in the subjects of physics, computer science, mathematics, mathematical statistics, or related areas, of which
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research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation
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experience in statistical analysis are also advantageous. The applicant should be able to work both independently and as part of a team. Proficiency in both spoken and written English is required. The ability
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forests are merits. Skills in planning, executing, and reporting scientific studies, as well as experience with statistical analyses, GIS and literature reviews (incl. meta-analyses) are meriting
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silviculture or ecological surveys, ability to work independently in the field, skills in GIS and R-statistical analysis, and good communications skills in written English. A drivers license is a necessity for
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(BIM) and other relevant tools, e.g. thermography inspection. -Experience in statistical analyses of experimental results. -Ability to work independently and to formulate and tackle research problems
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, dynamic programming , statistical signal processing, reinforcement learning, and have good programming skills in Python and MATLAB. - Ability to work independently and ability to formulate and tackle