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PhD or be near completion, in physics, mathematics, computer science or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage
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of Education (Ref.: 535006), to commence as soon as possible until 31 August 2026, with the possibility of renewal. Applicants should possess (i) a Master’s degree in Psychology, Neuroscience, Cognitive Science
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under controlled atmosphere) and characterization of organic and organometallic compounds, with focus on p block element containing compounds and their complexes. They should have basic knowledge in
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is an interdisciplinary project aimed at developing a method for studying shelters with schematic paintings by combining archaeology, geomorphology, materials science, planetary science, cognitive
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condition, but also our strength. And it is a strength that ensures our research and education are recognized both nationally and internationally. Our vision is to create and apply knowledge across
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biophysical (e.g., FRET, ITC, SPR) and structural techniques (e.g. cryoEM) to characterize protein interactions Background in membrane biology or lipid biochemistry. Knowledge of neuroscience or synaptic
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reports and technical papers for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and
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for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced
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or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes. Excellent communication skills are essential, including the ability