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holistic, interdisciplinary approach that bridges computational social science and computational mental health to capture fine-grained behavioral data, uncover underlying mechanisms, and design
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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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/or medication security and sustainability. The position is open to applicants with a PhD degree in law with a topic that gives a good background for a post doc in this area. The post doc is expected
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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publication funding are included, and the role offers strong support for career development, including pathways to ERC Starting Grant applications. Essential Selection Criteria You must have: A PhD (or
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plan and research proposal. For the doctoral researcher’s position, the appointee must enroll as a PhD student at the University of Helsinki. The appointee should either already have the right to pursue
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technicians in designing and conducting molecular biology experiments. Writing own grant applications Skills, expertise and/or qualifications A PhD degree in any relevant field of life sciences Successfully
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. Backholm) would be your main supervisor. Together we would design your work so that it fits your background and interests and provides the best springboard for your future career. You would also work in