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biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical informatics experience in large scale academic projects and/or industry environment. Strong grasp of study
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interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both Interest in working on a
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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(e.g. Matlab / Python) Experience of or willingness to work with pre-clinical tissue models (e.g. farmed meat) and human tissue (e.g. contaminated instruments in clinical facilities). A proven academic
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models for transport. Experience in using MATLAB/ Python/Siemens Simcentre to develop AI-assisted programme and models for powertrains and propulsion systems within the transportation and energy sectors
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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Python or Julia). Experience of computer-aided design (CAD) of components and devices. Experience of using and/or writing numerical simulation code. About Heriot-Watt University At Heriot-Watt we