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early-warning systems for groundwater contamination in karst areas. The main goal is to achieve a better understanding of the transport processes governing the spatial and temporal dynamics of fecal
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for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since the position involves teaching
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-time position as academic staff where your main responsibility will be working with data. If you are interested in a doctoral degree, this may be considered but not a requirement. The position is limited
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periodic academic assignments at the chair Assistance and active participation in the drafting of research proposals What we look for in you Master's degree completed in computer science or engineering
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the field of fiber design and structure research and write reports and publications in English, or if possible, German language. What you bring to the table Degree (diploma/master) in physics, electrical
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, or if possible, German language. What you bring to the table Degree (diploma/master) in physics, chemistry, electrical engineering or equivalent disciplines Knowledge and relevant professional
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international centre for freshwater ecological research (www.igb-berlin.de ). IGB is a member of the Leibniz Association (www.wgl.de ) and has close links with Berlin’s three main universities. More than 350
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the results from these studies in manuscripts, project reports and presentations at international conferences, and prepare a PhD thesis at the end. What do we expect from you? A Master of Science (MSc.) degree
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excellent degree (Master of Science or equivalent) in Machine Learning or a related field A solid theoretical foundation and practical experience in machine learning Experience in training and evaluation
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entrepreneurial setting Attractive salary Modern and excellently equipped workspace in central location Great and cooperative working atmosphere in an international team Opportunities to write a master's thesis