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with: Code maintenance and development (Python): Refactor and document code and keep the codebase maintainable and aligned with project goals. Testing: Try test cases, evaluate the performance Data
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. in R and Python) Support/manage data collection pipeline from instruments in the lab & field (including visualisation of data in e.g. Origin) Establish, maintain, and refine documentation regarding all
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- Knowledge in programming in Python or R - Familiarity with machine learning or deep learning methods is a plus - Interest in plant genomics, evolutionary biology, or comparative genomics - Proficient in
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strong background in machine learning and/or computer vision is required, along with solid programming skills in Python and experience with deep learning frameworks (e.g. PyTorch). Prior research
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
Experience with image analysis Experience with coding and high-performance computing, for example in python, C, etc. Experience with polymer and/or block copolymer physics and/or chemistry Experience with
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interpreting large datasets using statistical programming languages (e.g. R, Python etc.) Proven independent working style, technical problem solving, data analysis and generation of novel ideas Proficient
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; measurement system characterization, e.g., validating platform performance such as dynamic range, linearity, phase noise and measurement uncertainty; automated test & data acquisition, e.g., using Python/MATLAB
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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grids, public clouds, and private clusters for research and software development needs Ability to develop software in multiple programming languages relevant to HPC (e.g. Python, Julia, Rust, C/C
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competence in programming with Python and working on Linux based platform is essential for this position, as is a background in either Mechanical Engineering, Material Science, Applied Physics and/or similar