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Field
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co-design workshops with men from Black backgrounds and lower income backgrounds, in communities across Yorkshire. You will lead data analysis within the team and help develop targeted recruitment
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, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca , check out @TorontoMet (external link) and
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here . You can read more about career paths at DTU here . Further information Further information may be obtained from Giuliano Bissacco e-mail: gibi@dtu.dk . You can read more about Department of Civil
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Responsibilities : Partner with the PSIX Director and Senior Research Associate to execute PSiX’s research vision and strategy. Collect, analyze, and integrate qualitative and/or quantitative data, e.g., through
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, including a description of the applicant’s research interests and contributions to the project (max. 500 words) A research plan (max. 6 pages) Degree certificate: Master’s degree Contact information of two
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Posting Details Position Information Job Title Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor Position Number 937330 Vacancy Open to All
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discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy
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more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3. Autonomous copy (one PDF file per paper) of the 3 to 6 papers that the candidate considers best
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(Oxford University) and colleagues from the Children’s Public Health Service in North Tyneside Council. See the ECLS website for more information about the team and the School of Education, Communication
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees