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this area will also be considered. The ideal candidate should be proficient in scientific programming (e.g., Python or MATLAB) and have a genuine interest in developing and testing experimental setups
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and analytical skills; experience in programming, e.g., in C++, Python or Matlab (experience with programming of sofware defined radios and/or off-the-shelf communication modules is a plus); a creative
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of thesis by the start date) in economics, psychology, or a closely related discipline. Strong programming skills in Python, Stata, or R. A solid foundation and interest in behavioral and experimental
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three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage strategy for scalable PBM
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, including bias mitigation and reinforcement learning techniques. Proficiency in Python and standard NLP libraries (e.g., Hugging Face and PyTorch). CHC is a research and development unit at Aarhus University
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-cell analysis. Specific experience with single-cell and spatial omics data analysis (snRNA-seq, Visium, MALDI-MSI) and proficiency in R and/or Python is required. Familiarity with deconvolution tools
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scientific programming (e.g. in python). • Excellent oral and written English language skills. • Strong collaborative skills, team spirit, yet the ability to work independently. Qualification
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. Proficiency in data analysis software (e.g., R, Stata, or Python). Interest in comparative politics and political economy, preferably in European wage regulation and climate policy. Fluency in English is
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- or LC-MS and LC×SFC, LC×LC or GC×GC-MS analyses) Experience with chemical analysis of bio-oils Experience with programming languages is advantageous (e.g., R, Matlab or Python) Can interact and
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(e.g. C++, Python, Matlab) OpenFOAM (beneficial, not required) Strong analytical and problem-solving skills. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and