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hiring date is as early as December 1, 2025, but can be anytime in 2026. The PhD student is expected to develop and apply statistical methodology for causal inference in observational and experimental data
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statistical inference. More specifically the recruited PhD student will consider variational inference approaches for GEA and stochastic optimization to speed up the inference, with the objective of scaling up
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became available for patients with specific SOD1 gene mutations (<1% of all ALS patients). The main objective of this PhD project is to develop gene-targeted therapies for newly identified ALS-associated
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and Engineering at the University of Luxembourg, and follow a vibrant PhD program that includes training in transferable skills, support for career development, lectures and teaching by international
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to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets, develop strong analytical skills, and collaborate with international
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of your application. Please note that the automatic recognition offered by HK-dir insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with education from a Nordic
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and spoken English. - Strong analytical skills. - Willingness to acquire a variety of additional skills ranging from physics modelling and statistical data analysis to hardware programming. PhD
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teaching by international experts and annual PhD symposia. The PhD project interfaces two rich fields of research: Physics of Living Matter and Physics of Complex Systems, with an overarching goal
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not sufficient, and will not be accepted as basis for admission to the PhD programme. Applicants with education from a Nordic country or medical degree from the EEA area and a license to practice
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21st September 2025 Languages English English Norsk Nynorsk English PhD-position within neuropsychology and perinatal/neurological pharmacoepidemiology Apply for this job See advertisement UiB