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GSK using readily available NLP pipelines and subsequent preliminary analyses. After a successful upgrade to PhD student status the successful candidate will use the remaining three years to develop ML
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position as PhD student (m/f/d) to develop and implemente machine learning applications and data analysis in Translational Psychiatry. Your group The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max
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Participate in the creation, collection, and analysis of a substantial multimodal dataset using advanced digital tools developed for the project Independently develop and complete a PhD dissertation that
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or financial support for moving expenses, neither parental support. Students are offered practical support for their settling in Naples through the Higher Education & University Liaison Office that can be
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referred to as the Regulations no. 43, of 03rd March; the legal framework for the recognition of academic degrees and higher education diplomas awarded by foreign higher education institutions; the Code
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of Chemical Processes and Pollution Control group at the University of Cantabria is looking for an early-stage researcher to develop his/her PhD thesis focusing on the analysis of sustainable pathways toward
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Independently develop and complete a PhD dissertation that contributes to the project’s goals within the stipulated timeframe Actively contribute to project activities, publications, and collaborate extensively
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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | about 9 hours ago
Description The PhD will work on the ERC AbioEvo on prebiotic compartments for RNA in the context of the origin of life. ESPCI Paris is a major institution of higher education (a French "Grande École
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bioactive compounds or graft by vinyl polymers or polyesters. Possibility to prepare shape memory polymers, stimuli sensitive polymers, nanofibres by electrospining with ability to bond various active
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objective will be to develop algorithms for predicting and planning the evolution of local energy systems (microgrids) over a time horizon of several years, using machine learning and numerical optimization