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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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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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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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supervisors, aligning with your expertise and the needs of the program. Core tasks include study design, data acquisition, analysis, and interpretation of imaging data. Work responsibilities An appointment as a
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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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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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at advanced level should be within materials chemistry, chemistry, technical chemistry, or technical physics or closely related subjects. · Good English skills (written and spoken). Merits: · Familiarity with
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(Higher Education Ordinance, Chapter 7, Section 39). Applicants must: Be proficient in at least one statically typed programming language. Have substantial experience of developing software (e.g. projects
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(at least 15 ECTS credits). Applicants must have strong oral and written communication skills in English. Because the project extends over four years, the successful candidate must also show
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to communicate well in English is required. It’s preferable if the doctoral student also speaks Swedish. When selecting eligible applicants, great importance is placed on the thesis plan and ability to assimilate