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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy. Experience in DNA repair assays, cytogenetics, plant functional genetics
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, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
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large medical datasets, and also gain knowledge on how AI can be used in healthcare. The position involves many different types of meetings with other PhD students, researchers, supervisors, and
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. The development of offshore wind farms is essential for the energy transition, but it also raises questions about its impact on the marine environment. Each wind farm exerts different pressures on the environment
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companies - public and private - and stakeholders in the different fields of research. We look forward to receiving your application. Join us and build the future with us! Project description Modern systems
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- experience in programming (e.g. Matlab and/or Python) - experience in fieldwork - proficiency in scientific writing - skills in communicating with people who have different backgrounds Your workplace
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situations where multitasking is possible and efficient. Within this project, the PhD student will mainly investigate how neural indices of cognitive control are impacted by different types of multitasking in
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itself. Examples include: how scientific choices (methodology, references) differ between large language models and human scientists; how we measure the capabilities of large language models in
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emerging and traditional donors, identifying patterns of convergence, divergence, and new coalitions in a multipolar development landscape. The PhD candidate will contribute to this research with a preferred