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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 19 hours ago
for Precision Medicine”, with focus on the analysis and development of biomarker profiles for the personalized assessment of cardiovascular risks associated with cancer therapy. You will be responsible
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acquire in the course of the PhD skills in live microscopy, experimental neurobiology, genetics and behavioural work. The student will receive mentoring and have the chance to guide the research and
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learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will have the chance to explore basic machine learning research as
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project, we will measure the human mesoscale cerebellar morphology in postmortem brain tissue to provide a ground truth for the independent in-vivo experiments. This project will give you the chance to work
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metaflammation and influence the risk of COPD. You will also investigate the potential attenuating effects of targeted nutritional or pharmacological interventions. Using innovative data analysis techniques, you
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typical reading development and children with reading problems or disorders, eye-tracking, rapid frequency tagging, multivariate analysis, time-frequency analysis, source modelling and robust quality
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 28 days ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and
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contribute to research within the project “European Union Cohesion Policy Programme for 2021–2027, specific support objective 4.3.6 ‘To promote the social inclusion of people at risk of poverty or social
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-site, international research project. Your work will include qualitative and quantitative research, development and validation of quality-of-life measures, analysis of risk and resilience factors, and
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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical