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to autonomous systems is considered an asset. Proficiency in relevant programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in
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cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a
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using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required
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-cell omics, including single-cell immune repertoire analysis as well as experience and knowledge of R and/or python programming. Profieciency in histopathology work such as tissue sectioning, conducting
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computing (Linux) environments, including shell scripting. Strong programming and data analysis skills (e.g., Python, Fortran, R). Demonstrated ability of scholarly output (peer-reviewed publications and
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
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developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral
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, experience with using Abaqus, user subroutines, and Python scripting. Qualifications: Must have a Ph.D. or equivalent; be able to undertake substantial full-time research and scholarship; working under
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and Python Solid background in genomics Prior experience in DNA sequencing and cancer genetics is strongly preferred but not exclusively required as training will be available. Qualifications Education