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with an interest in ecological applications. Required qualifications: PhD (or equivalent) in computer science, biology, software engineering, or a related field Strong proficiency in Python, including
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, e.g., in Python, PyTorch, TensorFlow, or similar. Curiosity to work with researchers from a heterogeneous group, with core expertise in communication theory, networking, information theory, statistics
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(e.g., R, Python). Proven ability to publish at a high international level. It is a prerequisite that you are good at communicating in English. Strong collaborative skills and good collaboration skills
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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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should have the following qualifications: Experience in software development, programming with Python, C++, etc. Good/strong knowledge of robot operating systems, robotic control and virtual
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and Python are required. The successful candidate will be based in Odense, under the primary supervision of Prof. Stefan Jänicke. The appointment will be made for 2 (two) years at a competitive salary
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software skills Proven experience with CFD automation, e.g. using PyFluent or similar Python APIs for meshing, solver control, post-processing and data management. Solid experience programming in Python
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning