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. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
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information about the PhD fellowship, please contact the principal supervisor. General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk
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addition, PhD students are expected to build knowledge of external research funding opportunities and funding strategies as part of their academic development. PhD students carry out an independent research
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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: that failures carry rich, transferable lessons, knowledge useful to others beyond those who failed. This PhD project investigates failure in digital ventures: how and why digital startups stagnate and shut down
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, synapse density, and neuronal network formation. The PhD thesis work will be supervised by Prof. Obermair and will be conducted within the PhD program Mental Health and Neuroscience (https://www.kl.ac.at/en
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) of sustained attention. Statistical and time-resolved modelling approaches will be used to characterize attentional fluctuations. The PhD will be conducted in a multidisciplinary environment combining cognitive
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PhD courses corresponding to approx. 30 ECTS / ½ FTE Participate in active research environments, including a stay at another research institution, preferably abroad Teaching and knowledge dissemination
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are available at https://www.ulb.be/en/about-ulb/gender-equality-at-ulb . Where to apply Website https://academicpositions.com/ad/universite-libre-de-bruxelles/2026/3-phd-posit… Requirements Research
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are not currently registered for a PhD, but who have a strong desire to discover new practices and knowledge through evidence based approaches. The Joint PhD Scholarship offers a pathway to nurses to