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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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regulation. Programming, scripting, or computational workflow development, including R or Python. Experience working across interdisciplinary projects involving analytical technology development and
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level, which is in Danish). Scientific computing, possibly with different programming languages (e.g., Python, MATLAB/Simulink). Moreover, the candidate shall demonstrate the following experiences
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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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.). Doctoral degree in a relevant field of research. High-level proficiency in English. The following qualifications and experience are required: Scientific computing, possibly with different programming
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. Strong skills in scientific scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to