112 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" 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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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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-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
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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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agricultural areas in Denmark You will be contributing to the dynamical integration of near real-time data into WRF-Chem You will be contributing to the development of machine learning models used on data
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, the Lundbeck Foundation, Novo Nordisk Foundation, Independent Research Fund Denmark, etc. Sun lab: https://dandrite.au.dk/people/research-groups/sun-group DANDRITE: https://dandrite.au.dk
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employment. Publication Track Record: At least two first-author research papers at flagship venues of core machine learning research (e.g., NeurIPS, ICML, ICLR, AISTATS). Theoretical Rigor: A deep