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candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal
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with a programming language, such as MATLAB, Python, C etc and/or hardware description language such VHDL or Verilog. Excellent communication (both writing and oral) and interpersonal skills. Can work
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field, have experience with experimental, behavioral, or survey research, and possess strong quantitative and programming skills using tools such as Qualtrics, Python, R, Stata, oTree, or Java. Fluency in
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computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject
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, and research communication. Strong coding skills are essential, particularly in Python, C++, JavaScript/TypeScript, or comparable languages and frameworks. Experience with SQL, declarative programming
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3 years in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with
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Computer Science, Engineering, Data Science, Human-Computer Interaction, Robotics, Cognitive Science, Psychology, or a related field. Strong programming skills, preferably in Python, with experience in machine
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analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB