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Description We are seeking an entry-level data scientist, junior faculty to join our clinical data research lab. The ideal candidate will have a strong foundation in statistics, machine learning, and data
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the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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learning with the physics of laser–matter interaction. Your developments will be directly validated through multiple experimental runs on state-of-the-art laser processing equipment. You will work closely
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researchers and collaborators. In order for research papers and analysis to be conducted efficiently, large quantities of raw data must be well curated. In addition to heading up the data wrangling effort, the
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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. Strong background in applied machine learning, biostatistics and/or bioinformatics. Preferred Qualifications Doctoral (PhD) degree in quantitative data science (e.g., data science, epidemiology, health
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. ? Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred. ? Candidate must be able to work on multiple projects simultaneously. Applicants should