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Field
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expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment. Experience working with melanoma
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health research, or related fields. Substantial Experience in R, python or other relevant computational languages. Experience with single-cell RNA sequencing and/or ATAC-seq. Demonstrated experience
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, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A strong publication record demonstrating research excellence. A minimum of one
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, game-theoretic analysis, network problems, decision analysis, or behavioral economics Proficiency in a scientific computing or statistical programming languages (e.g., Python, R, Julia, C++, or MATLAB
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of PhD submission. Strong scientific programming skills in Python. Knowledge of mathematical models of biological systems and numerical methods for differential equations. Experience developing and
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proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
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relevant discipline Experience in fish welfare and behaviour Experience in image or video analysis, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing
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dataloggers and environmental sensors Experience in soil laboratory analysis Excellent programming skills (e.g., Python, R) Strong analytical and organizational skills Driver’s license Position Specific
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Python · Experience with high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent
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, neuroimmune, or cardiometabolic research Programming experience in R, Python, or related languages is a plus Environment and Training The Alagpulinsa Lab provides a highly supportive and intellectually rigorous