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on existential risk analysis. The postdoctoral researcher is, moreover, expected to carry out a research stay (funded by the project) at one of our advisory board members’ institutions ( Stanford University
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intelligence (AI) to optimize large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. Key research areas include: Enhancing Selection Decisions: How can we make
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strong background in materials crystallography with measurement and analysis of diffuse scattering, including use of the 3D-DPDF method. Furthermore, the candidate preferably has experience in writing
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: Robotic design and control, robotic braces and design of exoskeletons, robotic inspection and maintenance, human robot interaction, collaborative robots. For all areas, skills in theoretical analysis
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analysis, surveys, or other data-driven approaches strong interdisciplinary orientation and capacity to collaborate across the digital humanities, computational linguistics, media studies, or cognitive
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. • data analysis and writing scientific publications. • supervision of PhD, Master and bachelor students. • project administration, such as writing reports etc. Qualifications Candidates should have a PhD
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial
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development. You have experience in medical statistical data software analysis (using R, STATA or similar), as well as integrative analysis of molecular data in relation to clinical datatypes, such as
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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will be using metabarcoding for the analysis of microbiomes from field and greenhouse experiments, and you will integrate data on microbiome composition, nematode infestation, plant performance, plant