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skills in scientific computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with
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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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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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preparation, and proposal preparation; (e) have strong statistical knowledge and data analysis skills; (f) be proficient in using Python for data processing and text mining, and traditional qualitative
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in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow, PyTorch) Experience with physics-based modeling Strong analytical and problem-solving skills, with
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, R, or Python. 4. Experience in processing and analyzing diverse remote sensing datasets. 5. Ability to work effectively in an interdisciplinary and collaborative research environment. 6. Strong
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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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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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; 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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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