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Field
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Engineering or a related field. In this role, the selected candidate will be responsible for designing, developing, and optimising algorithms for processing and analysing signals in real-time applications
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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positions listed below are limited availability positions. Please note that only students currently enrolled at Taubman College are eligible to apply to become a graduate student instructor (GSI) at Taubman
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. The application will include: • Letter of recommendation of the supervisor indicated above • Curriculum vitæ including the list of the scientific publications • Motivation letter • Letter of recommendation of
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Apply by sending an email directly to the supervisor. The application will include: • Letter of recommendation of the supervisor indicated above • Curriculum vitæ including the list
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algorithmic algebra. For more information about the TUM Department of Mathematics, please visit our website: https://www.math.cit.tum.de/en/math/home/. The position is a full-time position (100%), initially
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton's world-class researchers to support the ongoing work. This will consist of independent research
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this project, we aim to: Develop real-time ultrasound algorithms to estimate fascicle length in antagonistic leg muscles (tibialis anterior and soleus) in healthy individuals during walking. Translate and
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. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts