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treatment strategies in the REDUSE trial. Qualifications To be eligible for the position, you must: Have a PhD degree in medicine or environmental science Be able to independently perform life cycle analysis
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(if not already proficient) Analysis and Publication of Research Data (20% of Time Spent) Mentoring of students and technical staff (5% of Time Spent) Prepare data and manuscripts for publication Prepare
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Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/EMR8001-CARDRI-001/Default.aspx Work Location(s) Number of offers available1Company/InstituteChildren's
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training, exchanges, and career development for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and
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; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
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profile PhD in Health Economics, Development Economics, Public Health or similar disciplines (awarded or near completion) ; Demonstrated experience in CEA ; Experience with ECEA or DCEA analysis would be
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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academic fields, Ghent University is a logical choice for its staff and students. YOUR TASKS The new colleague becomes an active team member of the UGent Center of Data Analysis and Statistical Science (DASS
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competitive, commensurate with qualifications and experience. Information and Application Further information on the post and the University is available at http://www.cityu.edu.hk , or from the Human Resources
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: Strong competences within solid state physics, materials science, solid state chemistry or similar. Experience with experimental setups and laboratory work. Experience with data analysis performed using