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Field
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team environment. Knowledge of R or Python, experience of high-throughput proteomics and sample-handling automation, or experience with targeted mass spectrometry would be advantageous. Applications
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responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is
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function from the VEuPathDB knowledgebase. You should have a Masters in bioinformatics, systems biology, or a related area, with expert knowledge of Python and experience using APIs to build agentic
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Python or C++ or Matlab) and scientific computing are essential; together with MR image processing skills. Experience in multi-modal MRI processing, MRI harmonisation and statistical analysis would be
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backend work in Go and Python, including connectors, transformations and event-processing services. The postholder will hold a Bachelors Degree and/or equivalent experience About the Department
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along with experience in bioinformatic or population genomic analyses, including processing high-throughput sequencing (NGS) datasets. Strong programming skills (e.g., Linux/Bash, R, Python) and
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. This staged approach will allow the student to determine both the capabilities and the limitations of the technique rather than assuming in advance that a particular implementation will succeed. MATLAB, Python
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or python. An interest in evolutionary biology, comparative genomics or the biology of early-diverging animals would be beneficial, although applicants primarily trained in molecular pharmacology, cell
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optics, near-infrared spectroscopy (NIRS), diffuse optics, photonics or related areas. Experience in scientific software development and programming (e.g. Python, MATLAB, C/C++, LabVIEW). Experience in
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, computer science, physics, data science or a closely related discipline. Experience in MRI image analysis and scientific programming, preferably using Python and modern computational libraries. Experience applying