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Field
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Your Job: The project focusses on Tans-Neptunian objects. The key objective is to develop ML tools that provide a quantitative assessment for the quality of fit between observed properties of Trans
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Your Job: This project uses numerical simulations to determine the relative importance of the presence of interstellar objects (ISOs) in the interstellar medium. Specifically, the various formation
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Objects and Visual Studies” doctoral program of the BerGSAS, https://www.berliner-antike-kolleg.org/en/bergsas/index.html We welcome applications from highly qualified graduates from the fields
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increasingly important, but also more complex, due to rising demands on performance, precision, quality, and sustainability. Bayesian optimization (BO) - a special machine learning approach - represents a
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position / internship in the field of dependable person detection. Your task is to investigate, how reliably different object detection algorithms can recognize and locate persons. This will include 3D
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of the hydrogen economy will also be part of your work. Further development of the detection concept for green hydrogen, particularly green hydrogen carriers Development and implementation of analytical methods in
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to mastering the great challenges facing society today. We are looking for a PhD Student (f/m/d) In-situ detection of airborne pathogens to further develop a real-time in-air pathogen surveillance solution
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risk development. These projections will enable the identification of sustainable adaptation strategies and support policy development. Objectives Develop an Agent Based Model (ABM) that describes flood
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individual rates of ageing. Role You will extend BrainAGE from global estimates to regional normative models using Bayesian regression and GAMLSS to derive age- and region-specific reference distributions
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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro