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Field
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developing and clinical risk populations (e.g., psychosis, depression) focusing on hormones, neurodevelopment, biomarkers, and scale development. We use a wide variety of behavioral, modeling, and neuroimaging
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you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates for language courses offered by the university language
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personalities in our team! The University of Vienna aims to become carbon neutral by 2030: We fully support low-carbon options for travelling. The position is available from April 2026, but a later starting
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of catalysts using low dose-rate and dose atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active
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: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Scholarship Low-cost medical, dental
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
neurological condition such as epilepsy or Parkinson’s Disease, or a psychiatric condition such as depression or schizophrenia) To effectively treat a patient with a heterogeneous disease, it is necessary
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support low-carbon options for travelling. The position is available from April 2026, but a later starting time is possible. The review of applications will begin on 20 March, 2026. The search will continue
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the laser-induced breakdown spectroscopy, high-order harmonic generation in laser-induced plasmas, gases, and solids, low-order nonlinear optical characterization of quantum dots, thin films, and other
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, Major Depressive Disorder, and Dementia with Lewy Bodies. Required Qualifications: PhD in Neuroscience, Biomedical Engineering or related disciplines with expertise in data sciences Experience in
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
relatively low-resource languages. This includes corpus preparation, tokenization, model adaptation, and evaluation in settings where off-the-shelf tools are insufficient. The project aims both to generate new