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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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distributed information system for semantic process chain modelling that can describe changes in material properties conducting an assessment of the current situation with other scientific and industrial
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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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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data infrastructure landscape (including initiatives such as the National Research Data Infrastructure (NFDI), Open Collection, Information and Research Infrastructure (OSIRIS), Distributed System
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sciences Additionally desirable Expertise in marine sciences Experience in the tropics Experience with technology, i.e. hardware development Experience with HT condor distributed computing We are looking
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E14 (TV-L). The department Human and Animal Cell Lines conducts research with cell lines and hosts the DSMZ open cell lines collection. This includes quality controls and distribution of cell lines
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the Research Group “Stochastic Algorithms and Nonparametric Statistics” in the project „SFB/Transregio 388“ SFB/Transregio 388 investigates the interplay between rough analysis and stochastic dynamics. Central
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, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination