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study examining common elements in decisions across different contexts (risk, uncertainty, time; gains, losses, and mixed domain choices). Applying Bayesian techniques to develop stochastic models
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(an asset) • High proficiency in quantitative methods and statistical software (e.g., R) • Experience in open science practices. • Excellent communication skills in English (French is a plus) Note: Applicants
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students working on the early modern and modern Arabic corpus within the project You will be expected to design and teach academic courses on Arabic epigraphy and fieldwork methods, You will be responsible
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innovative work to advance quantitative methods in ESM study design and drives methodological innovation in intensive longitudinal research. You will join the Methusalem program, an ambitious long-term
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neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR-based screens and methodologies to generate
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take a leading role in research activities, including the design and implementation of novel methods, experimental evaluation, and dissemination of results through high-quality scientific publications
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with different sex-determining systems (XY, ZW, homomorphic vs differentiated sex chromosomes); investigating the drivers of sex chromosome turnover, transposable elements and repeats landscape and
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relevant to this area of research e.g. computer science, applied mathematics, operations research Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning, Proven
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mandatory Commitment, teamwork and a critical mind The ideal candidate should have experience in some of the following topics: Experience with control methods: impedance/admittance, force control Experience
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-of-the-art AFM and advanced imaging platforms A highly interdisciplinary and collaborative research environment within LIBST, UCLouvain Opportunities for scientific independence, method development, and career