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have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as
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zero net magnetization. The objective is to understand the interplay between magnetic and structural degrees of freedom gives that give rise to this novel phase, and to explore how the properties can be
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a
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in the process of collecting. In fact, the experiment has recently removed its hardware trigger and is relying on a purely software-based trigger system, in order to maximise its efficiency in
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' astrometric sources, i.e., suitable to define stable reference points with short multiwavelength link between radio and optical bands can be selected on the basis of photometric properties and possibly
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together complementary expertise. Objectives of the PhD - Define the sizing and operating conditions of the expansion machine to optimize coupling with the linear alternator, using a dedicated simulation
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of nanoparticles represents a versatile and scalable route towards the creation of new functional materials with well-defined structures on the nanoscale. Depending on their shape, surface chemistry, and
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medicine. The laboratory benefits from a large network of national and international collaborations and access to cutting-edge technological platforms, including advanced microscopy, high-throughput
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software and models will be developed for data processing and analysis. Finally, the instrument capabilities will be evaluated using protocols and reference samples previously developed for this purpose in
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experience with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English