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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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beschäftigt sich mit der theoretischen Entwicklung und Anwendung von Quantentechnologien auf Fragen der Grundlagenphysik. Die ausgeschriebenen Stellen sind Teil des Projekts „QS-Gauge: Quantensimulation von
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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objects (e.g., fabrics) Bimanual coordination and manipulation planning Vision- and tactile-based perception and state estimation of deformable objects Simulation and reality gap bridging for deformable
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. The applicant should be proficient in written and spoken English, and have good computer skills (e.g Word, Photoshop, BioRender, Excel). Also, it is important that the candidate demonstrates independence, as
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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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-scale training of a foundational pelagic imaging model, which will be fine-tuned for species classification, trait extraction, and particulate organic carbon estimation. The model will allow to establish
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chambers, (2) field sampling and lab analyses to quantify rates of carbon sequestration into soils and vegetation, and (3) geospatial upscaling of results to estimate the carbon and greenhouse gas balance
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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to career development activities; (b) supplies, equipment and technical personnel; c) travel to research meetings or training; and (d) statistical services including personnel and computer time. Salary