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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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Physics, Chemistry, or Materials Science. A strong background in quantum mechanics, thermodynamics, and statistical mechanics. Documented experience in programming. A strong interest in atomistic modeling
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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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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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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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for variant effect prediction. Good knowledge of human prehistory and human evolution. Good knowledge of statistics. Training in bioinformatics, genomics, molecular genetics is advantageous. How to apply
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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
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competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems) and Automation and Logistics. Read
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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques