83 machine-"https:"-"https:"-"https:"-"https:"-"Mathjobs" Postdoctoral positions in Denmark
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, or as soon as possible thereafter Project Description We invite applications for a postdoctoral position at the interface of computational proteomics, machine learning, and mass spectrometry. The
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Machine Learning Employer University of Southern Denmark (SDU) Location Odense, Fyn (DK) Salary Competitive Closing date 16 Nov 2026 View more categories View less categories Discipline Chemistry
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programming in Python, R, or similar languages Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to
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machine learning for plant biology Employer Aarhus University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 12 Oct 2026 View more categories View less categories Discipline
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc in first-principles modelling and machine-learned
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a two-year postdoctoral position focused on physics-driven machine learning for ground-based, airborne, and
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | 28 days ago
project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052
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MathJobs you must also submit it via the University of Copenhagen recruiting system. A link to the Univ of Copenhagen application recruiting system can be found here and will also be mailed to you after
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-time data into WRF-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus