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computational sciences and theory. Who Should Apply: Master’s degree (or be near completion of) in Bio(Physics), Chemistry, Bioengineering, or a closely related field Desirable expertise in: Single-molecule
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: Algebra, Geometry, and Number Theory; Analysis and Dynamical Systems; Probability; and Statistics. There is extensive collaboration between these themes. LUND UNIVERSITY LTH, Faculty of Engineering at Lund
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
models). Your tasks Development of analytical theories of biomolecular phase transitions, focusing on liquid-liquid phase separation. Development of numerical simulation tools, e.g., for process modeling
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expected to: Demonstrate analytical ability and intellectual curiosity Be highly motivated for theory-driven, foundational research Show persistence and creativity when tackling technically challenging
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to study the mathematical theory behind coarse-graining approaches, providing new understanding of the size and sources of errors committed when they are used. The project will involve both development
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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(subject to positive intermediate evaluations). If the applicant is non-EER, up to 1 year of pre-doc will also be supported An exciting research environment, working on the intersection between theory and
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. The candidate should have documented training and experience using social science methods (qualitative and/or quantitative). Knowledge of theory of research integrity and philosophy of science is preferable. What
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with PyTorch or similar frameworks Interest in representation learning, self-supervised learning, multimodal learning, foundation models, or ML theory Strong programming and analytical skills Excellent
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My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological