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mentoring junior researchers and contributing to a positive and inclusive lab culture is highly valued. Experience with R or Python is an advantage, but candidates with a strong willingness to develop
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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experience in molecular dynamics and/or finite element methods (Abaqus, Comsol, etc.). 4. Proficiency in at least one of the following programming languages is required: Python, Matlab, C, C++. Where to apply
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. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with
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, Computer Science, or similar Knowledge in bioinformatic analysis tools, Linux, Bash scripting and at least one of the following languages: Python, R Familiarity with plant transcriptomics, statistics, and microbial
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Learning, or a related field Strong background in cybersecurity and/or applied machine learning Interest in applied cybersecurity research with real-world impact Proficiency in Python and relevant ML
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recruitment, screening, consent, scheduling, regulatory compliance (GCP/IRB/FDA), and study documentation. Data management, preprocess/analyze large-scale neural data using Python/MATLAB; contribute
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neurodegenerative mouse models Experience in developing image analysis workflows (Python, MATLAB, R, Imaris) Experience in histologic post hoc brain tissue analysis (IF, IHC, RNAScope) Experience in antibody
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to interpret data trends Proficiency in Microsoft Excel or Google Sheets (e.g., sorting, formulas, basic visualization) Familiarity with data analysis tools (R, SPSS, Python, or similar) Ability to synthesize
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equipment - with minimal supervision (e.g., Python, Arduino/Raspberry Pi) - Experience designing and building equipment or devices (laboratory instrumentation preferred) - Hands