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of Cardiovascular Medicine bring together clinicians, investigators, educators, and trainees working across the spectrum of cardiovascular disease, from prevention and population health to advanced imaging, heart
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
. For the working group “Impacts of climate change on human population dynamics” PIK is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d)(Position number: 24-2026 Researcher Migration) in the field
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international journals. Engage in dissemination of results to national and international stakeholders. Key Skills, Experience and Qualifications PhD in environmental epidemiology, biostatistics, mathematics, big
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opportunity to work at the intersection of computational neuroscience, psychology, and applied mathematics. Core responsibilities include: Focus on decision-making, linking computational models and mathematical
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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to ongoing work by Dr. Megha Khosla on trustworthy graph machine learning, especially on the relationship between transparency and privacy in graph-based models. Population-scale network data are highly
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AI systems Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD. The appointment is for two years, with the possibility of renewal
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of abstraction, from concrete, experimentally grounded models of quantum systems to general mathematical frameworks, and using the insights gained at one level to inform the other. You are excited by
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. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection