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science, computer science, scientific computing, mathematics, physics, biology, earth sciences) Experience in the development of scientific open source software Experience in dealing with research data High
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foundation model, Run case studies and statistical evaluations of hydrological downscaling and improve the downscaling model based on these results, Perform general research into the application of advanced
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PhD position in Statistical Physics or Computational Neuroscience on Curiosity [C3] (all genders welcome) At the University of Göttingen -Public Law Foundation-, Graduiertenkolleg 2906 Neugier
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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Professorship (W3) for Informatics with a Focus on Data Science Institution: Faculty of Mathematics, Informatics and Natural Sciences Commencement of duties: Summer Semester 2025 Application
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completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field Profound knowledge in the field of machine learning, in particular deep
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statistics about population density at specific acoustic sensor locations. Existing bioacoustics research has mainly focused on the task of bird species classification. The most popular model, BirdNet [1
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degree in (Bio-)Statistics, Mathematics, Computer Science, Epidemiology, or a related field Minimum 2 years of experience in data analyses using frequentist and Bayesian approaches. Experience in handling
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building mathematical surrogate models of various coupled multidomain components and subsystems for vehicle systems. These components will be built into a larger surrogate model that can be used to simulate