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Field
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Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX, or similar) Strong analytical and problem-solving skills Good written and verbal communication in English Experience in any
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with experimental research, data analysis, or programming (e.g. MATLAB, Python, or similar) is desirable but not essential. An essential requirement is enthusiasm to study the processes involved in human
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following: Strong programming skills (preferably in Python), with experience in machine learning/AI or software engineering for interactive systems Desirable experience in game development or design using
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Geography, and the like Demonstrated analytical, programming, or numerical methods skills (e.g., C++, Fortran, Python, R, Matlab). The candidate must be fluent in written and spoken English and Portuguese
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candidate will: Hold an MSc (or equivalent) in Physics, Mathematics, Computer Science, or related fields Have strong computational and modelling skills, including proficiency in Python and experience with
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, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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Python and/or R for bioinformatics and ability to write clean, reproducible, and well-documented code for complex multi-step pipelines. have documented experience from cancer research. Additional
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analysis, and biology, as well as Python and R programming language (critical). Previous experience analyzing high-resolution spatial VDJ/transcriptomics, long-read sequencing, single-cell transcriptomics
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, mathematics, applied mathematics, computer science, biomedicine, biotechnology, or another relevant field. Documented experience in programming or quantitative data analysis, for example in Python, MATLAB