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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science
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. Why the Netherlands Cancer Institute? At the Netherlands Cancer Institute, we all want the same thing: to make a difference in the world of cancer together. Quite something but not impossible. Here
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to assess the differences in functioning of natural and novel ecosystems, spontaneously developing in post-coal mining spoil heaps. We will also assess when novel ecosystems will be similar to natural
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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the use of statistical and graphical software such as Statistica, GraphPad Prism, ImageJ, or equivalent, and the ability to select appropriate statistical tests for different data types and interpret
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to implement data analytics processes and algorithms in scientific programming languages (e.g., Python, R). The ability to collaborate within a multidisciplinary research group. Independent work, collaboration
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learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine learning software packages such as Weka
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic