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communication skills Experience with all-atom and/or coarse-grained molecular simulations Programming skills and experience working in a Linux environment Candidates with backgrounds in: Physics Physical
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Postdoctoral position in biomolecular simulations of membranes and membrane proteins at SDU in Od...
coarse-grained molecular simulations Programming skills and experience working in a Linux environment. Candidates with backgrounds in: Physics Physical Chemistry Engineering are particularly encouraged to
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Policies and their architectures - Advanced programming skills What we offer - a well-developed research infrastructure, laboratories and access to shared equipment - an exciting interdisciplinary
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Experience with programming in Python, R, or similar languages Background in machine learning or deep learning methods Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an
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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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models); Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch); Experience with distributed systems and edge AI; Strong publication record in reputable
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journals strong programming skills the ability to work independently as well as in an international, interdisciplinary team with industrial partners excellent written and spoken English Who we are
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programming skills (e.g. Python, Matlab). Ability to analyse spatial (GIS) and large operational datasets. Interest in interdisciplinary work involving computer science. Strong written and verbal English
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quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging, atmospheric spectroscopy, greenhouse-gas measurements, UAV observations, radiative
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, dynamic vegetation models, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large