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Field
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neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching
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interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with computational and data-driven approaches, focusing on topics such as plant carbon
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conferences and workshops Excellent written and verbal communication skills in English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and
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and international cooperations • Excellent English skills, basic German an advantage Your tasks • Perform genome, transcriptome, and proteome analyses to identify pigment biosynthetic gene clusters in
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non-invasive agrogeophysical parameters and the soil–plant continuum Improving small-scale process understanding of soil–plant interactions and transferring this knowledge to larger scales
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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technologies. The institute is active in national and international cooperation networks and works closely with industry and research to develop innovative solutions. The institute's research building
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of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of
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Your Job: You will work as a doctoral researcher within one of four interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with
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. International young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and