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PhD position in Statistical Physics or Computational Neuroscience on Curiosity [C3] (all genders welcome) At the University of Göttingen -Public Law Foundation-, Graduiertenkolleg 2906 Neugier
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Basic knowledge of molecular biology, gene regulation and epigenetics as well as deep understanding of sequence analysis, statistical concepts and machine learning Highly skilled in a programming language
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molecular simulations, machine learning, statistical physics, multiscale modeling, and uncertainty quantification. The position is offered in the context of the EU funded project, aiming to develop a novel
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methods based on plane-wave approaches or raytracing methods and the statistic distributions of field quantities of general validity for the time and frequency domain and different loading conditions are
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-associated microbiomes using state of the art molecular methods! Your tasks Conducting field sampling and experiments to assess diversity and functionality of cyanobacteria-associated microbiomes Statistically
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systems and statistical mechanics as well as skills in molecular dynamics simulations are highly desirable especially for the first position. Proficiency in programming would be beneficial. A good command
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, scientific publishing, and presentation of scientific results in the form of posters and talks at national and international conferences. The ability to statistically analyse data sets is desirable
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Experience in plant stress ecology Experience with statistics, R Interest in team work Willingness to work in Kiel during joint experiments Desirable: Knowledge in aquatic ecology, microbiology, molecular
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computer science, business informatics, media informatics, mathematics, applied mathematics, statistics, or a related field. Also, students from other fields with a sufficient skillset in computational
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foundation model, Run case studies and statistical evaluations of hydrological downscaling and improve the downscaling model based on these results, Perform general research into the application of advanced