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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 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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heterogeneity and typologies, diverse values and valuation of nature, and theory of transitions and transformations Conducting and analyzing semi-structured interviews and workshops with stakeholders Develop
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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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the following areas: — Strong mathematical skills, particularly in convex and non-convex optimization, matrix theory, and probability. — Strong background in signal processing, such as detection and
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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 Fermilab theory community. The LPC provides outstanding computing resources and software support personnel. The proximity of the CMS Tier-1 and the CMS Remote Operations Center at Fermilab allows critical
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Leeuwen and Yang (arXiv:2403.15292). As a PhD student on this project, you will: develop mathematical theory for non-linear inverse problems governed by wave equations; design and analyse numerical
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defined radios ▪ Prior knowledge of wireless communication systems (MIMO-OFDM, LTE, 5G-NR) ▪ Prior knowledge of information theory Our offer ▪ Access to state‑of‑the‑art lab facilities at the TUM ACES Lab