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sampling in pig herds and slaughterhouses, and statistical analyses of prevalence and shedding data. This is a recruitment position of a temporary nature, intended as an educational post that leads to a
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herds and slaughterhouses, and statistical analyses of prevalence and shedding data. This is a recruitment position of a temporary nature, intended as an educational post that leads to a doctoral degree
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environment. Apply now if you are motivated to drive the project and eager to advance applied forest remote sensing. Main tasks Process remotely sensed data Develop statistical models predicting tree- and
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techniques. Key Responsibilities The successful candidate will: Conduct quantitative studies on user behaviour, including: Statistical analysis of datasets provided by MediaFutures’ industry partners and other
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programming languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility
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languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility with
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, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
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use the information for anonymous statistics. We offer Involvement in an interesting research project Good career opportunities A good academic environment with dedicated colleagues Flexible working
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“Female Heart”. The researcher position has a temporary financing for two (2) years from 01.11.25. About the project/work tasks: Advanced image analysis of ultrasound images Statistical analysis
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access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context are differentially private algorithms for statistical model