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H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics, chemistry, environmental sciences or a related field with good final grade (German system equivalent
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opportunity to work on highly relevant environmental and energy topics. Further we offer our students: Collaboration in a diverse, highly motivated working group with an international character in one
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their molecular recognition properties Using machine learning methods and simulation techniques to understand environmental effects on the enzymes and improving their stability and activity Publishing
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program in engineering, computer science, data science or a related field of study High interest in data processing and analysis and producing interesting plots using Python Very good Python (or other
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of the transformation of the German energy system until 2045 Your Profile: Very good results in your Master’s degree in the field of energy technology, engineering, environmental sciences, renewable energies, industrial
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publish results at national and international conferences and peer reviewed journals Your Profile: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil
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international conferences and peer reviewed journals Your Profile: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil sciences Mathematical modelling
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collaboration with leading international research partners within the EU project Your Profile: Masters degree or comparable degree in mechanical engineering, electrical engineering, environmental engineering
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HYDRUS and MODFLOW Your Profile: MSc degree in hydrology, environmental sciences, environmental engineering, or similar subjects Knowledge of modelling techniques and ideally of land surface models
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in engineering, energy technology, environmental sciences, renewable energies, biosciences and geosciences, agricultural sciences or a related field of study You have good written and spoken English