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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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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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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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/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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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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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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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