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Employment 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Faculty of Science Application deadline 30 June 2025 Apply now Are you an enthusiastic young
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share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in celestial mechanics
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going to do Analyze a uniquely extensive neuroimaging dataset (90 minutes of functional MRI per participant across multiple sessions and conditions, detailed structural and diffusion-weighted data
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of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in computer science, AI, mathematics, or a related discipline, with a research track record in computational
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. The group comprises PhD-students and technicians all working on different aspects of complement regulation on human cells, employing techniques like ELISA, flow cytometry, confocal imaging, recombinant
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’ sending and receiving regions. It uses big data and agent-based modelling to analyse the impact of those changing patterns of spatial mobility on EU regions and envisage policies to counterbalance
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Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications You should have a PhD degree in
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consists of interns, residents and PhD candidates. Together we are responsible for the education of veterinary students, provision of clinical services to horses and companion animals, and both clinical and
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collaborative work. Your independent work takes place within the framework of the “VR as Empathy Machine” project and you will closely collaborate with both the PI and two PhD candidates and co-supervisor who
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML