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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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learning pipeline in Python (using e.g. PyTorch) - validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) - publication and presentation of your
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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communication skills in English.-A collaborative and curious mindset.-Experience with biological or solid-state nanopores, DNA nanotechnology, single-molecule microscopy, or programming/data analysis (e.g., Python
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in R and/or Python Excellent communication skills and fluency in English (oral and written) Independent, proactive, rigorous, results-driven, solution-oriented, and a critical thinker Collaborative
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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) and immunoassays (ELISA); Bacterial culture and transformation; molecular cloning; Experience with immunocytochemical techniques and fluorescence microscopy; Programming in Python; Independence and
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mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing. Familiarity with machine learning
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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conducive to scientific qualification and provides the opportunity for further academic development. Where to apply Website https://uni-bielefeld.hr4you.org/job/view/4748/research-position-phd-student-m