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Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
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experience with work with human cancer cell lines, stem cells, and/or immunohistochemistry is a plus Programming skills with Python or R is a plus Excellent communication skills A solid experimental or
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for mass spectrometry data processing and data deposition. Knowledge in data analysis using open science programming languages (e.g. R and Python) is advantageous. About the employment This is a full-time
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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
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programming skills (e.g., Python) Previous experience with analyzing sequencing data Excellent communication abilities, and a collaborative mindset Meritorious for the position: Demonstrated work on developing
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experience in handling large metagenome datasets (first author publication/s in the topic are required). Relevant experience in R and/or python programming (eg. pipeline development for metagenomic data
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stage. Strong programming skills (Python or R) and familiarity with high-performance computing Exceptional collaborative abilities Preferred qualifications A doctoral degree or an equivalent foreign
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for scientific research — demonstrated experience is a plus. Possess basic programming or data analysis skills (e.g., Python or R). Exhibit strong problem-solving skills, independence, and collaborative spirit
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level of competence in the construction and implementation of bioinformatic pipelines Good communications skills in English Documented ability in Python or Nextflow coding Experience working with machine
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. Preferred qualifications: Proven experience applying machine (deep) learning to imaging data. Strong programming skills, preferably in Python, and use of version control (Git/GitHub). Knowledge of open-source