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Field
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Specific Requirements Ability to work and collaborate in research teams in a competitive environment. Other requirements: Programming skills (C, C++, Matlab, Python, LabView) Knowledge of data communication
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Experience with CRISPR/Cas9 or other gene-editing technologies Experience with RNA sequencing or single-cell transcriptomics Basic programming skills (e.g., R or Python) for biological data analysis We seek a
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and
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). Demonstrated affinity with quantitative genetics concepts and data analysis. Experience with programming in Python, Fortran, Linux or similar software. Good organisational and communication skills in English
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models is a merit. Candidates are expected to have a genuine interest in computer security, and are required to have very good knowledge of programming (such as in C, Java, or Python). Another requirement
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of the following tasks using R/Python/bash scripting, such as genome assembly, SNP calling from re-sequencing data or RNA-seq data, and visualisation of high dimension dataset. Solid understanding of genetic
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methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid knowledge of statistical inference, statistical
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, or Python. You will also be able to shape your own research. This includes primary data collection through surveys, or qualitative or quantitative interviews. Working as a PhD student requires the ability
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knowledge and skills in machine learning - Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the
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automation (e.g., Python, C#), or strong motivation and capacity to acquire these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain