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Field
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research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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modelling and parameter estimation. This PhD project will be carried out in the Mathematical Systems Biology group at the Computational Biology Unit , a cross-departmental unit at UiB that works at
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and decarbonisation strategies. Examples of priority areas include: Evaluating public awareness of and attitudes towards energy transition; Estimating willingness to pay (WTP) for low-carbon options
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a five-year master degree within electrical engineering, energy systems, power engineering, control and systems engineering, and/or mathematics and physics, preferably acquired recently; or who
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to work on cutting-edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute
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seamlessly in the physical world through embodied robotic platforms. The PhD candidates will be part of the department’s research activities at OsloMet OceanLab, working within robotics, control, perception
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transmission pathways and inform surveillance and control strategies. Secondary opportunities will be available to participate on projects on foot-and-mouth disease (FMD), African swine fever (ASF), vesicular
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team designs and carries out controlled experiments and develops, validates, and applies advanced mathematical models to investigate a wide range of agricultural challenges, including the impacts
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) perform any other duties as assigned by the project leader or her delegates. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree in Interaction Design Human-Computer
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and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID