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computer vision. Responsibilities and qualifications Your main task will be to develop AI-based computer vision methods to analyse underwater video sequences. Specifically, your primary focus will be
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qualifications for the project in question (max two pages). It is strongly encouraged that you include a github link or proof of coding proficiency. Detailed CV, including personal contact information
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designers, video, web services, graphic design and communications often work together on traditional online courses and professional development at the College of Education, along with diverse multi-year
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using simulation software such as COMSOL Multiphysics, MATLAB, and/or Ansys. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion
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applications from women and minorities. If you are interested, please provide the following documents: A one-page cover letter briefly describing your academic career, research experience, coding experience
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, or Engineering. Candidates should be able to demonstrate applied coding and analytical skills (e.g. Python, R, SQL, or MATLAB) and an interest or experience in statistical modelling, machine learning
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Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied Math, or related field. Strong coding/computing skills. Familiarity or strong interest in the
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of the application is midnight (23:59 CET) on November 2, 2026. Long-listed applicants will be asked to submit a 2-5 minute research video. Short-listed applicants will be invited to the CLS2027
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has provided insights into the origins and functional evolution of protein-coding genes, alternative splicing, long noncoding RNAs, microRNAs, and sex chromosomes across organs and species, as well as
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details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities