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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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the environment that might later be used for biotechnological or medical purposes. In addition, methods for enhancing phage screening are being developed. What you will do Depending on your area of interest
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include: Implementing the classical components of the Sample-Based Quantum Diagonalization [1] method within the MiMiC multiscale simulation framework Developing and integrating a communication interface
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monitoring, reporting and verification of greenhouse gas emissions and mitigation efforts support reduction in model uncertainties associated with the estimates of the full N budget at the European continental
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data analysis and development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 days ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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computer scientist with programming experience, but no background in science communication - or vice versa - we still encourage you to apply. Your tasks and duties will be a subset of the following
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collaboration with partners at the Göttingen Campus and the newly established Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed). Applications from candidates working
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on "Development of AI Models for Capturing Connections in System Diagrams" is the development of deep learning models to capture connections in scanned diagrams. By the end of the work, a method should be