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your technical goals. Collaboration opportunities with the Nanoscale Science Department and the European industry leaders in electron microscopy and machine learning, as well as financial support to
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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
# Work in an interdisciplinary team to develop analytical and statistical/machine learning methods for surface geochemical exploration # Preparation of multi-method exploration-campaigns for known deposits
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collaborative project between the Ralser lab and the Vingron Lab. This joint endeavor aims to explore phenotype predictions based on large proteomic datasets and machine learning approaches. We are seeking a
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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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and explainable hybrid Artificial Intelligence, i.e., the mix of formal knowledge representation and reasoning with sub-symbolic data-driven machine learning approaches, to work on car-driver digital
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and
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Postdoc (f/m/d) in Machine Learning for Quantum Computing and Simulation of Quantum Matter / Comp...
research (optional) Your profile # Completed university studies (PhD) in the field of Computational Physics or Chemistry, Computer Science with a focus on Artificial Intelligence/Machine Learning methods
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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Postdoc in atmospheric chemistry on investigating the phase behavior of secondary organic aerosol...
to learn and will get the opportunity to develop new skills. We are seeking a highly motivated postdoctoral researcher who will help develop new methods to probe aerosols phase behavior and who actively
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molecular data Your profile PhD in computer science, mathematics, physics or related fields Experience in machine learning and AI, with proven codebase in public repositories Experience or strong willingness