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with experience in One Health or climate-health research. Proficiency in systematic reviews, survey methods, and/or causal inference is essential, along with programming skills (e.g., in R or Python
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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documents. A well-qualified candidate will also possess: Advanced scientific programming skills using a variety of computer languages, including but not limited to Python, C, C++, and Fortran. 5 years
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. Certifications: No specific certification is required for this position. Work Experience: No specific work experience is required for this position. Skills: Biomedical Research, Functional Genomics, Python
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such as python, as well as wet lab skills for handling and producing protein, and performing biophysical assays to study phase separation. Find out more about our group here: https
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sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members
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. Expertise with R and Linux shell is essential. Python experience preferred. Does this position have supervisory responsibilities? No Preferred Education/Experience Statistical genetics, genetic epidemiology
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research, deep learning and biomedical image analysis are essential. Strong programming skills in Python and a keen interest in cross-disciplinary research are also required. Informal enquiries may be
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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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/. Position Overview: We are looking for a highly motivated and qualified postgraduate trainee to join the project team. This individual should have experience in python programming including experience with