150 structural-engineering "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" research jobs in Canada
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of Technology (NAIT) is an applied research centre focused on advancing next-generation energy systems. CGI collaborates with industry, utilities, startups, and government partners to develop and validate
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applicants who receive their PhD less than one year prior to their start date. Fellows from a diversity of disciplines — from groups who have traditionally been underrepresented in science, technology
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Interpersonal skills Enthusiasm Confidence Initiative Judgement Able to problem solve Organizational skills Accuracy and attention to detail Commitment to the job Able to work with technology and manage systems
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with data entry and research databases (e.g., REDCap). Familiarity with clinical research environments or healthcare documentation. Strong attention to detail and ability to follow structured protocols
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Research Assistant 1 position is based in Prof. Thomas Szkopek’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a highly motivated and technically skilled
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, engineering or computer sciences) and who have not worked in the life sciences before. 7 May 2025: Deadline to initiate a Letter of Intent 15 May 2025: Deadline to submit a Letter of Intent 25 September 2025
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amplification tactics across platforms. Maintain a structured tracker/database of relevant accounts, narratives, media references, and key incidents. Review government reports, parliamentary studies, security
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publications. Qualifications: Strong academic background in ecology, environmental science, geography, engineering, or a related field (Master’s degree completed or equivalent). Proficiency in at least one of
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financially self-sustaining basis. The Centre plays a unique role as a centre for research, teaching, and technology transfer relating to dairy and forage production, agronomic crops and practices, and soils
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Research Assistant contributes to Dr. Prisman’s research lab in head and neck reconstruction technology by researching and developing machine learning modules and other software tools to improve