66 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" Fellowship positions
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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resourceful, organised, and able to manage multiple priorities effectively. e) Be highly numerate, analytical, and be willing to work with complex datasets. The ideal applicant should also: a) Have experience
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer-reviewed journals. Understanding of ethical guidelines in research. Capable of planning and executing complex projects
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online behaviour at scale, across multiple modes of communication (messages, images, video, memes and emojis) that shape participation and meaning in warfare. You will lead and manage a range of individual
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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end users Proficient in programming or scripting languages, including Python, C++ and Java Script Ability to work independently on multiple streams of research and collaboratively across multi
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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simulation tools § Experience with device design and layout for photonics foundries § >2 years experience with photonic device characterization including linear spectroscopy § Familiarity with multiple
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
to understand cumulative climate risks, specifically to produce hazard maps and multi-criteria hazard risk assessment methods integrating multiple parameters to estimate the spatial susceptibility of key climate