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experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
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of audiovisual psychophysical studies with electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)•Statistical analysis, computational modelling and presentation of behavioural, EEG data and
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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-assembly into superstructures using scattering and microscopy. Develop data analysis protocols for advanced structural and optical characterization methods to assess structural and optical properties of NPL
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standards in biodiversity text analysis Disseminate research results through peer-reviewed publications, academic conferences, and collaborative research proposals Your Profile MSc in biodiversity informatics
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to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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analysis of complex microdata; familiarity with sensitive data handling, FAIR research data management, preregistration, or synthetic data methods is highly desirable. Interest in economic research topics
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smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree and
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and policy, digitalisation, AI and smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading