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: Experience in deep learning, machine learning and medical imaging processing Programming experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent verbal and written
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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systems (Windows, macOS, Linux). Basic exposure to scripting or query languages (e.g., Python, PowerShell, Bash, or log query languages) sufficient to read or modify existing scripts or queries. Basic
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of technologies used in support of biomedical research, such as R, Python, databases (SQL), version control (Git), scientific workflow tools and HPC clusters. Cloud computing tools would be a bonus. Ability to
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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, mathematical, and financial modeling skills to research tasks and analytical deliverables. Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets. Prepare and deliver
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functional theory, tight-binding theory, or valence force field methods; Proficiency in PYTHON programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldChemistry
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Engineering, or related field Strong programming skills (Python required; experience with Golang or similar is an advantage) Experience with data processing Experience in UI development for Windows, macOS
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functional theory, tight-binding theory, or valence force field methods; Proficiency in PYTHON programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldChemistry