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Field
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project, we are looking for a talented PhD candidate that can establish novel processes for fabrication of 3D pyrolytic carbon nano- and microelectrodes and integrate them into sensor platforms
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algorithms that combine Reinforcement Learning techniques like Partially Observable Markov Decision Processes (POMDPs) with cognitive inference modules capable of modelling human beliefs, intentions, and goals
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field assets: experience with camera traps/sensor networks, interest in biodiversity, and a valid EU driving license How to apply The call for applications remains open until the position is filled
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the research center Sensible Things that Communicate (www.miun.se/stc ) and deals with sensor-based systems and services for use within the Internet of Things and artificial intelligence. Job description We
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learning algorithms. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform
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catheter probe based magnetic sensors for biological applications. To perform quantum sensing, we optically read-out the NV centre's electron spin state to quantify the perturbing effect of nearby
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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for applications in supramolecular chemistry and catalysis, including sensor development, functional materials, stimuli‑responsive systems, and enantioselective catalysts. Computational projects, either standalone
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development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques