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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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on oral health. Preferred Qualifications: Experience analyzing oral microbiome datasets (16S, shotgun metagenomics, or metatranscriptomics). Advanced programming and data science skills in R, Python
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, GNSS, or satellite communications is a plus Strong programming skills in MATLAB is required. Experience with C/C++, Python, or related tools is advantageous Ability to work independently and
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, PowerPoint and statistical software are expected. Over the course of your role, you will be interacting with computational design pipelines and will be expected to acquire basic proficiency in Python. Your
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify microplastic particles based on spectral and morphological fluorescence data. Develop and maintain modular analysis pipelines in Python
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., dissection, viral delivery, histology) Mouse surgery experience, especially surgeries involving embryonic mice Computational experience (R, Python, or equivalent) or a strong interest in developing
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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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analysis Proficiency in relevant programming languages such as R/Bioconductor and Python Profound experience with version control (Git) and workflow management systems (e.g., Snakemake, CWL or Nextflow