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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
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algorithms, models, and frameworks. Proficiency in programming languages commonly used in bioinformatics and AI research (e.g., Python, TensorFlow, PyTorch). Record of publications in top-tier conferences
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. Strong candidates will also have software experience with coding in Python, C++, and ideally MATLAB and databases such as MySQL. The successful candidate will be able to work both independently and closely
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running bioinformatics pipelines in R, Matlab, and/or Python. Proficiency in data analysis, data visualization, and statistical inference. Ability to perform independent research and to apply experience
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learning tools for analysing healthcare data; Proven competence in mathematics and programming data analysis methods in Matlab or Python. Desirable: An interest in the application area of healthcare
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production-quality Python code to parse, validate, and transform microscopy data from published research papers, public databases, and internal repositories. This role requires technical excellence in data
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strong background in optimization and machine learning. Good coding skills in Python, PyTorch are welcomed. Application Applications should contain a CV, a motivation letter, the grade records of the last
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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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, 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