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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
), including uncertainty estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning
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<span lang="en">Helmholtz-Zentrum Hereon</span> | Geesthacht, Schleswig-Holstein | Germany | about 2 hours ago
of Electrochemistry and Big Data, we run a robotic high-throughput testing platform combined with machine learning for AI-assisted discoveries.
We are offering a 3-year position, as soon as
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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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Helmholtz Association of German Research Centres | Karlsruhe, Baden-Württemberg | Germany | 25 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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<span lang="en">Leipzig University</span> | Leipzig, Sachsen | Germany | 4 days ago
energy that drives the particles
- Track hundreds of interacting particles with machine-learning methods and test fundamental thermodynamic bounds on control
- Work closely with the Tel
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Helmholtz Association of German Research Centres | Kiel, Schleswig-Holstein | Germany | about 2 months ago
data bases in order to fully constrain and explore all environmental boundary conditions of cold-water coral growth with the development of novel machine learning techniques. The doctoral researcher
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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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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
. Strong scientific programming skills, preferably in Python, and experience with modern software-development practices Experience in implementing machine-learning and deep-learning methods Excellent
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climate physics and Earth System analyses, targeted climate model experiments, advanced statistics, including machine-learning- and explainable AI, to deliver usable climate risk estimates under current and
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 20 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