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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 24 hours ago
-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures
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stem/progenitor cell plasticity (HSPCs), and leukemic transformation. The project will use innovative 2D and 3D HSPC/MSC co-culture models, functional clonogenic and differentiation assays, bulk and
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, to characterize immune cell dynamics in murine models of inflammation and cancer. RESPONSIBILITIES: Developing and performing computer simulation of MRI contrast of labelled cells and tissue Labeling and tracking
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, Google.org, SAP, Merck, TUM Klinikum, Holtzbrinck). Diverse research topics and technologies, including: Conversational Semantic Search, Question Answering Systems, Complex Information Extraction. Fact
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responsibilities: To carry out and complete your own research towards a doctoral degree. Design, run, and analyse equilibrium simulations with a coupled Earth-system model of intermediate complexity to investigate
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measurements, among other techniques. You will identify and quantify losses with the help of theoretical models. The results obtained will be evaluated by you and summarized in scientific publications. What you
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cytotoxic payloads (Trastuzumab Deruxtecan and Trastuzumab Emtansine). These models will allow us to explore how payload differences influence both tumor cell killing and immune modulation within the TME. In
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analysis Collaborate closely with colleagues across disciplines to integrate findings into a comprehensive model of atherosclerosis pathophysiology Analyze data, interpret results, and present conclusions
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suitable for part-time employment. Starting date: 10.09.2025 Job description: You will have the following tasks: Modelling, design and simulation of shape memory alloy (SMA) microrobots Design and simulation
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teacher-student synchronization. However, this synchronization necessitates an exact student model, making the ACT often inexact and susceptible to uncertainty and variability. The project will aim