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code quality is a must. Additional knowledge on machine learning (e.g., scikit-learn, Pytorch, and generative chemistry) and free energy calculations is beneficial. Outstanding creativity, critical
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, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
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knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
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: Heidelberg Institute of Global Health Location: Heidelberg Start date: at the earliest possible date Job Category: Science and teaching Working hours: full-time Published: 18.07.2025 Limitation:Temporary
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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, economics, business informatics, data science, or a related field, • with a strong passion for entrepreneurship and/or family enterprise research, • with a solid knowledge of empirical research methods
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disciplines with PhD Extensive knowledge of machine learning/artificial intelligence and big data science Extensive knowledge of programming languages (ideally Python) Basic knowledge of synchrotron research
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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include the University of Oxford, Imperial College London and Ukrainian and British policymakers. What we look for PhD in a policy-related field (e.g., public policy, political economy, economics, political
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guided by the values of open science. In addition, ZPID is currently establishing research groups in meta-science and science acceptance. Join the growing ZPID team! Current opening: Postdoctoral