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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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systems, or a comparable field of study Strong interest in additive manufacturing, materials, and resource issues Analytical thinking and interest in systemic issues Basic knowledge of quantitative methods
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’ Feed sampling and nutrient analyses Ration formulations for sheep Conducting feeding and balance trials with sheep, incl. sample collections Application of analytical methods, e.g. photometry, enzyme
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developing countries (DAC) from all over the world. It is intended to provide excellent and motivated candidates with the opportunity to strengthen their research and analytical skills throughout the process
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divided into four areas with respective subgroups: »Optimization« »Processes and Materials« »Mathematics for Vehicles, Systems, and Plants« »Analytics and Computing« What you contribute You have completed
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operating systems Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method Interest in working closely with experimentalists Strong cooperation and
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of cybersecurity or data protection Willingness to take on new challenges, strong analytical thinking skills, interest in solution-oriented action Ability to work in a team What we offer Environment and
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Strong analytical and independent working style Excellent teamwork and communication skills You are independent, motivated, and passionate about shaping the energy transition—if this describes you, we
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the