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Java, Python, and JavaScript, as well as modern application frameworks such as Node.js and Spring. Experience with RESTful API design and integration, including familiarity with Model Context Protocol
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skills in Python and/or R (Java/Perl an advantage). Familiarity with Linux/UNIX systems and shell scripting. Excellent understanding of NGS data processing, alignment, variant calling, annotation, and
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rigorous documentation and version control. Solid programming and data-analysis skills (e.g., Python) and experience working with structural biology and protein-design software/toolchains (e.g., Rosetta
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Assist with deployment and support of AI software stacks, containerized research environments, and Python-based computational workflows. Help optimize GPU utilization, data throughput, storage access
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along with organizational skills, prioritization skills, time management skills, and meticulous attention to detail. Proficient computer skills. Some knowledge in programming using python and/R would be
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Very good methodological knowledge in the field of AI and/or process/physics-based models in the context of remote sensing Very good knowledge of remote sensing data analysis with either R or Python
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language and at least one statistical package, with python/R preferred. Strong experience with high-throughput sequencing data analysis. Experience with Linux, hpc environments, version control and workflow
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strong interest in foundational research very good programming skills, preferably in Python good written and spoken English skills We offer: The position comes with access to high performance computing
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background. • Programming expertise in Python, with experience in PyTorch or TensorFlow. • Familiarity with networking and edge computing (e.g., MEC, IoT, 5G/6G). • Analytical skills for designing and
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data. Writing new R packages or Shiny Apps for implementation of developed methodology. Applying AI and ML tools (including Python, R, and possibly other languages) to test and evaluate biomedical