37 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"UCL"-"Prof"-"IDAEA-CSIC" positions at Umeå University in Sweden
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take both compulsory and elective courses, plan and execute your research projects independently. You will be in a stimulating working environment together with doctoral students at the Department
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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to 20% of their time, thereby prolonging the duration of the program to guarantee four years of graduate studies. More information about doctoral studies you can find here: www.umu.se/en/usbe/education
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practice. UMA offers a five-year Architecture Programme and a Master’s Programme in Architecture and Urban Design, with approximately 300 students from Sweden and abroad. The school fosters experimental and
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deemed to have the ability otherwise required to successfully complete the program. General Qualifications Applicants must hold a university degree at an advanced level of at least 240 credits (ECTS
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-of-clinical-microbiology/ ), the student will be affiliated with the SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year
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programme. Collaborating with external partners on the practical and administrative coordination of research projects. Supporting PhD and postdoc research presentations and exhibitions. Writing newsletters
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data. • Programming skills in R and Stata or similar software. • Experience of intersectionality-informed health research. • Very good written and oral English language skills. Meriting qualifications
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, highly motivated for participating in the PhD programme, with strong analytical skills and the ability to work independently. You will be able to shape your project to a significant extent, beginning with
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several high-quality educational programs in Computer Science, we are now seeking a PhD student with a focus on gender, power, and media - AI methods for multilingual bias editing. The Department