308 computer-programmer-"Multiple"-"Humboldt-Stiftung-Foundation"-"Prof"-"Prof"-"O.P" positions in Sweden
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://www.naiss.se/) , and a strong internal and international collaborative environment, the applicant is expected to establish and lead an independent research program in organic functional materials
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ECTS relevant to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent
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to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent skills in some other
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for the PhD program at Chalmers. Participating in departmental duties, primarily teaching and supervising undergraduate students. Your profile We are seeking candidates with the following qualifications
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plan and conduct data processing and statistical analyses. Knowledge of statistics and programming (e.g., R) is therefore a requirement. The candidate is expected to compile research results, interpret
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bachelor's program in political science with a focus on sustainable development. The latter is a collaboration with the Department of Economics, with whom we also share premises, run a joint graduate school
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positions for early-career researchers in the field of environment and sustainability. The position includes, among other things, participation in a leadership development program and the supervision of a
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programme within the focus area of the position, based on the applicant’s own competence and experience. Teaching expertise is demonstrated by documented ability and experience in planning and implementing
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, computer science or a related subject the employer considers of relevance to the position. Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high throughput
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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches