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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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and phylogenetic comparative analyses using R or Python Present research findings at scientific meetings and symposia Prepare and contribute to the publication of results in peer-reviewed journals Your
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reports, publications, and follow-on funding proposals The Person • Experience with embedded systems (e.g., Raspberry Pi, ARM Cortex, microcontrollers) • Strong programming skills in Python, Verilog
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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of the position. Equivalent research experience will also be considered. You should have familiarity in handling large and complex datasets and skilled in programming languages such as R or Python. The ideal
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dynamics simulations. The project will entail programming (scripting, Python etc.), handling big data and carrying out all-atom and coarse-grained molecular dynamics simulations on high-performance super
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Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both
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and computational abilities • Demonstrate excellent programming ability in languages such as MATLAB or Python • Excellent communication skills across multiple disciplines • Excellent academic
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optimization. • Proficiency in programming (Python, R, Julia, or similar) and experience with frameworks like PyTorch, TensorFlow, or JAX. • Prior research in statistical learning and online optimization