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Subject area: Biology Description of the PhD projects We are seeking two PhD students in the field of biogas production, with a focus on the digestion process. The biogas process is currently
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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models for intelligent environments. The primary area of research involves developing AI models that can learn to represent real-world phenomena based on various types of observations, including video
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
Network SPARK for the doctoral project ‘Spatiotemporal Information Processing’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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Third-cycle subject area: Landscape architecture Description of the doctoral project: Governance and organisational alignment related to the operation and maintenance (O&M) of urban drainage
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, and works on electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with
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be conducted through a series of clinical research studies and is closely linked to highly specialised stroke care and neurointerventional services. The PhD student will analyze and process large
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electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with leading international
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process. About us The Southern Swedish Forest Research Centre is an interdisciplinary department conducting research and teaching across a broad range of subjects related to sustainable forest management