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biological problems and is thus not focused on development of computational methods. We wish to generate small protein binders against a range of important neuroscience targets – principally intrinsically
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data
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Flexible working hours Possibility of part-time work Family-friendly working environment Sustainable travel to work: subsidized Germany job ticket Our Corporate Health Management Program offers a holistic
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5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft
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in combination with computational biology approaches to generate comprehensive models of gene regulation during development and diseases such as cancer and neurodevelopmental disorders. To learn more
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history. In this role, you will help us achieve Impresso's goal to link historical newspaper and radio collections and to develop novel interfaces to enable their exploratory and computational analysis
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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that supports it. The goal is to deliver a computationally efficient and flexible inversion platform for electromagnetic data. The postdoc will also support EM method development within the Ethio-Nature project
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, including innovations in all that we do · An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and
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System (W-0046 | all genders) with the freedom to develop and pursue your own research program within a broad scope. As a successful candidate, you will become an integral part of the Multiscale Cloud