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Field
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Strong research background in statistical learning problems -- especially from a theoretical perspective -- as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral
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-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and AI model development. Research experience in biomedicine or health data. Excellent proficiency in written and spoken English
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anthropology Experience in R, Python, and/or a comparable programming language, preferably in a High-Performance Cluster Unix computing environment How to Apply: For full consideration, please submit
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environments, scripting/programming (e.g., Bash, Python, R), and genomic analysis pipelines is essential, along with hands-on experience working with large datasets and public repositories such as Genomics
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to apply. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in working with Livestock data is an advantage. Can speak and
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, probabilistic machine learning, or optimization methods is desirable Proficiency with relevant computational tools (Python, PyTorch/JAX, probabilistic programming) Personal skills: Ability to communicate science
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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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bioinformatics pipelines in Python for the analysis of genomics and large-scale omics datasets. Work within a collaborative team with regular scientific presentations and discussions. Work Plan - Development
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Qualifications* PhD in data science, statistics, computer science, AI, or a related field. Experience building end-to-end web applications with Python (Django/FastAPI), REST APIs, relational databases, and modern