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., GraphPad Prism, R, or Python) for statistical analysis and data visualization. Terms of employment The chance to drive high-impact research focused on addressing fundamental, mechanistic questions in
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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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with Python and common AI frameworks (PyTorch, TensorFlow) Interest in hallucination detection, robustness, trustworthiness, and (optionally) explainability for autonomous systems (Optional) Experience
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grades, awards, or led to scientific publications. Proficiency in Python is required. Experience with additional programming languages, such as MATLAB or C/C++, is considered a plus. Excellent English
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in mechanical engineering, electrical engineering, computer science, AI, or related field, with outstanding study results. DESIRABLE REQUIREMENTS: Programming experience in Python, particular
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machine learning. Strong proficiency with R/Python and machine learning frameworks (e.g., PyTorch, TensorFlow). Prior experience with workflow management tools (e.g., Snakemake, Nextflow). Familiarity with
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strong plus. Experience with Matlab, Python or a similar language and environment is a plus. Depending on the skills of the candidate, training can be arranged in the first year of the PhD. • Good
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of working in a multidisciplinary, international consortium?Are you familiar with Python, MATLAB, or similar tools for data analysis and optimization?Are you eager to contribute to EU-wide goals on energy
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake