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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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, computational chemistry or similar. Our group and research- and what do we offer? In our group we work with theoretical catalysis, which is based on atomic scale simulations and dynamics. In this way we have
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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markers. Develop machine learning models capable of predicting Category 1 emergencies based on real-time audio features extracted from calls. Work iteratively with YAS researchers to test and refine
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January 2026 ** (Please see the note below regarding potential later start dates.) Supervisors: Primary Supervisor: Professor Gibin Powathil Secondary Supervisor: Professor Mark Jones Additional Supervisor
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in or around the top 100 on several influential ranking lists. Currently approximately 34,000 students are enrolled and about 1,500 PhD students work on their theses. It has a highly international
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research environment with recently renovated laboratory facilities and state-of-the-art equipment for carbohydrate analytics and enzyme technology. Your daily work will take place in close collaboration with
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strategies targeting R-loop-associated malignancies. See also https://www.imb.de/wang For a more detailed description of the project including relevant literature, see here[pdf-Datei] . This PhD position
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scientific evidence, methodology and data. Strong interpersonal, communication and organisational skills. Please note, a DBS check will form a condition of the offer. Personal qualities Strong work ethic with
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be