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in biology, ecology or forestry, with documented specialization in community ecology, bird or bat ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is
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ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS
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resilience to shocks in developing countries through empirical research. It also aims to generate scientific insights on innovation use to enhance food security, reduce poverty and inequality, and support
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requires excellent study results at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good
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at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good verbal and written communication skills
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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to: design and perform experiment in different labs develop hand-on skills to fabricate high-performance battery You are expected to develop your own scientific concepts and communicate the results of your
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’ learning and experiences in public educational environments, such as the Visualization Center in Norrköping. The goals of the project are to identify AI-guide characteristics, investigate interactions
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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in a suitable software environment, with documented experience. Experience in applying or developing machine learning models for atomistic systems (in chemistry or physics) is advantageous