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. This highly collaborative project, jointly investigated by PDI, TU Munich, University of Münster and HTW-Berlin, is funded by DFG within the priority programme SPP2477 "Nitrides4Future". The motivation is to
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; German would be desirable Initiative, motivation, commitment, and scientific curiosity We offer a structured PhD program, exciting research topics, a stimulating international environment, a good
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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical
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the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a
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part of a multidisciplinary, international, and dedicated project group that offers you a wide range of opportunities for personal and professional skill development. The LIN offers excellent
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: We are looking for a highly motivated and team-oriented student (m/f/div), who holds a Master degree in physics, engineering or quantum science and technology. Successful candidate (m/f/div) is
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools
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of Fish Biology, Fisheries and Aquaculture of IGB in Berlin-Friedrichshagen at Lake Müggelsee we are inviting applications for a PhD position starting as of 01.03.2026, for a project studying the effect
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laboratory (bio-)chemistry, beamtimes at synchrotrons, data analysis and comparison to expected physics. Due to the complex structure of the composite droplets, we expect emerging effects which can contribute
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can