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Description The Graduate School Language & Literature at Ludwig-Maximilians-University Munich (Germany) offers a doctoral fellowship (fully-funded for up to 4 years) for excellent international students wishing to pursue a doctoral degree in North American History, History of the Americas, or...
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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controlled experiments. We are seeking a highly motivated PhD candidate with an excellent master’s degree in physics with excellent English proficiency. A strong background in optical microscopy and particular
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pathogens and (pro)phages will be beneficial for successful completion of the project but can in parts be acquired as part of the PhD project. Successful candidates should be willing to spend approximately
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chemistry, theoretical chemistry, molecular dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive
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Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The position is limited to 36 months
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System Planning offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest
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, remanufacturing, repurposing and recycling to each other for the realization of an agile network. Various machine learning approaches will be used here. Your tasks are: Requirements definition, survey and
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hydrogels: From chemical structures to applicability (SusGel)” 9 PhD positions (doctoral researchers (f/m/d)). Job description Replacing synthetic polymers with polysaccharides from renewable sources will
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Description We are seeking to fill a doctoral researcher position as part of the newly funded research project "Physical Limnology of Ponds". The project seeks to advance the mechanistic understanding of physical processes in pond ecosystems by analyzing the spatial and temporal dynamics of...