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addition to established molecular biological and biochemical methods, the project includes the establishment and application of organotypic section cultures of the heart and liver. These will be used to perform in vitro
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Excellent command of advanced statistical methods, such as network analyses, using the R programming language Strong publication record relative to the career stage, demonstrating research excellence and
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reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust methods to quantify the propagation of domain uncertainties in
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of results in scientific journals Requirements: PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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. About the project This position is embedded in the RIVIERADE project (IMPROVING MODELLING METHODS TO PRODUCE CLIMATE SERVICES FOR RESILIENT EUROPEAN SEAS AND COASTS IN A DECADAL TO MULTI-DECADAL HORIZON
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experience through articles in internationally recognized refereed journals or working papers suitable for publication. You contribute in-depth knowledge of methods of applied microeconomics, experimental
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methods, such as sequencing data and sc/sn-RNA-seq or Stereo-seq. You have good communication skills and will to collaborate with researchers from different disciplines. You fit to us: if you have a strong
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statistical analysis and demonstrated proficiency in Python, R, and/or MATLAB Prior experience in neuroimaging data analysis, AI methods, and/or the computational modeling of psychological processes is
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) for the Information Service Engineering department (ISE) in Karlsruhe startingOctober 1, 2025. The ISE department, led by Prof. Dr. Harald Sack, investigates models and methods for efficient semantic indexing
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project meetings Managing big biodiversity datasets, including quality assurance/quality control and methods for automation Analyzing spatial and temporal biodiversity data, and accompanied environmental