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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming languages
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, biological processes for plastic recycling. The research is expected to make use of methods from metabolic engineering, synthetic biology, and adaptive laboratory evolution, as well as automation opportunities
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Tomographic analysis of flow fields in pore networks affected by clogging. The work
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is looking for a PhD Student (f/m/d) - Electrochemical swing adsorption of carbon dioxide. Your tasks Performing quantum mechanical and ML-based simulations to determine CO2 adsorption energies
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The »Grid-free Methods« department at the Fraunhofer Institute for Industrial Mathematics ITWM focuses on the modeling and efficient simulation of complex industrial problems for the design and
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) may be offered. We seek a scholar who applies quantitative methods (such as (causal) machine learning) to sport economics research questions in an innovative manner. Evidence of such contributions
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quantitative methods (such as (causal) machine learning) to sport economics research questions in an innovative manner. Evidence of such contributions should be demonstrated through the recognizable potential
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necessary to do so, Formal eligibility to supervise PhD students, An individual target agreement for permanent employment, An open, stimulating and interdisciplinary work environment. Applicants are asked
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learning, especially in complex, dynamic real-world systems. The Scope of Your Responsibilities: Development and extension of methods in causal inference and explainable AI, including causal effect
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 5 days ago
analysis workflows. Program and implement statistical methods using R and Python. Design and deliver online teaching materials and training workshops for scientists. Supervise and train PhD students and