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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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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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programming languages (e.g., R, Python, C/C++) Excellent communication and writing skills Interested candidates are invited to complete the online application and email your CV and cover letter to Dr. Sapkota
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. Experience in network simulation and modelling tools (e.g. ns‑3, OMNeT++, MATLAB, Python) is an advantage. Practical experience in prototyping or testbed experimentation is an advantage. Soft skills Strong
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using R and/or Python for answering biological questions Strong commitment to research in a collaborative environment Enthusiastic and friendly personality WE OFFER: An international, multidisciplinary
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
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and/or hardware testbeds for wireless or satellite systems Strong programming skills in at least two of the following: MATLAB, Python, C/C++; experience with GNU Radio, OpenAirInterface, srsRAN
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‑based localisation or DOA estimation, design of ML models for time‑series or signal data Excellent programming skills in Python and/or MATLAB for signal processing and ML. Familiarity with libraries
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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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(e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C++ ability to work independently and collaboratively in