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organizing collective behaviour Analysing interspecific variation in swarming behaviour using comparative and statistical approaches Exploring evolutionary hypotheses by clustering behavioural traits and
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organizing collective behaviour Analysing interspecific variation in swarming behaviour using comparative and statistical approaches Exploring evolutionary hypotheses by clustering behavioural traits and
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at the interface of responsible and explainable artificial intelligence, as well as human-AI interaction and -collaboration. - Very good programming skills, preferably in Python. - Very good statistics and machine
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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, stress or endocannabinoid system. You like a challenge and are not afraid of combining neurobiology and chemistry. You have good statistical skills and experience with analyzing big data (e.g. RNA-seq
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researchers at the University Centre for Psychiatry. The PhD candidate will work on a philosophical project that covers philosophy of science, statistics and data science, and psychopathology. The PhD project
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covers high energy physics (elementary particle physics, quantum gravity, string theory), cosmology and gravitation, statistical physics (granular matter, chaos theory, critical phenomena) and condensed
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, the Royal Netherlands Institute for Sea Research (NIOZ), TU Delft, Statistics Netherlands (CBS), Naturalis, and several other academic partners. The project also engages a diverse group of stakeholders in
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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
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scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both