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of the infrastructure, design and execution of large‑scale measurement campaigns, and development of data‑driven models for room acoustics and spatial‑audio. The specific research direction will be finalised after
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conditions. Profile: Required degree: Master's (M2) in Ecology and Evolution - Specialization: Modeling in ecology and evolution, theoretical ecology Expected skills: - Statistical analysis - Mathematical and
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acids in both tissue and liquid biopsy samples will be investigated. Examples of techniques that will be used in this PhD project include DNA/RNA isolation, DNA/RNA sequencing, spatial transcriptomics
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acids in both tissue and liquid biopsy samples will be investigated. Examples of techniques that will be used in this PhD project include DNA/RNA isolation, DNA/RNA sequencing, spatial transcriptomics
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economic factor: around 80% of all decisions in society are said to have a spatial component, due to the fact that everything happens somewhere at some time. GI is essential to numerous application areas
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spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and can contribute to more than one
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. Knowledge in project field PhD student in the economic sciences field, enrolled in a state university from Romania. Being enrolled in a PhD program in the cybernetics and statistics field could be
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, Psychology or a related field excellent knowledge in AI and at least one of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in
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related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding of probability, statistics and optimization. * Proven expertise in
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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and