25 phd-in-architecture-interior-design-built-environment Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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project funded by the Research Council of Finland. The selected candidate can start as soon as possible and ideally by early 2026. About the position The main aim of the postdoctoral project is to design
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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pursue doctoral studies (second-cycle higher education degree or equivalent). The applications are assessed based on the quality and feasibility of the research plan. The abilities and motivation
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feasibility of the research plan. The abilities and motivation demonstrated in the completion of a previous degree or in another manner to complete a doctoral degree in accordance with a research plan are also
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the position The main aim of the postdoctoral project is to design and conduct field and greenhouse experiments for testing causality in plant-microclimate relationships, especially from a functional
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topic (e.g. studies relating to EU, sustainability or gender studies). They must have proven ability and motivation to pursue postgraduate studies and a doctoral degree according to the study plan and
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postgraduate studies and a doctoral degree according to the study plan and research proposal, evidenced by previous degree studies or other activities. The appointee will need to have secured the right to pursue
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PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral Researcher’s position, the appointee is expected to have
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studies and research work leading to a completed PhD thesis Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria For the Doctoral
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collection and/or experimentation. We seek candidates who have completed a PhD in ecology or a related field, have strong conceptual and statistical skills, and experience working with large and complex