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<span lang="en"> Helmholtz-Zentrum Hereon</span> | Geesthacht, Schleswig-Holstein | Germany | about 5 hours ago
Material and Process Design at the Helmholtz-Zentrum Hereon is offering a 4-year PhD position in the field of computational materials engineering, machine learning, and digital twins for advanced
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quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation pathways
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at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development.
Tasks of the PhD Student
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
existing methods (e.g. XGBoost, Gaussian Processes) - you will publish your work and contribute to open-source releases Your profile - PhD in Machine Learning, Computer Science, Physics, Environmental
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Helmholtz Association of German Research Centres | Karlsruhe, Baden-Württemberg | Germany | 17 days ago
. Machine learning (ML) provides a promising approach for the automated detection and classification of seismic signals in DAS data. The objective of this research is therefore to develop, implement
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Helmholtz Association of German Research Centres | Kiel, Schleswig-Holstein | Germany | about 2 months ago
jobs PhD in Trustworthy World Models for Critical Systems Luxembourg, Luxembourg (Canton) Professor of Machine Learning Methods 2 Graz (AT) Faculty Position - Department of Epidemiology and Cancer Control, Data Science Memphis, Tennessee
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clinical data, imaging, pathology and outcome data Multi-agent and predictive AI development: Develop machine-learning components for patient-trajectory modelling, recurrence and survival prediction
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 12 days ago
>Your tasks
You will develop computational and machine learning methods to analyse and integrate spatial transcriptomics data of different resolutions and technologies, to characterise
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software involving machine learning to predict the occurrences of protein interaction sites (so called short linear motifs) in disordered protein regions and determine how they are created or modified