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. They are deeply embedded in human behaviour, work practices, organisational culture and (inter)national politics. These risks and vulnerabilities make it essential to consider the human factor when addressing
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development for genetic analysis and causal inference as per 1 March 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 36 months. As an Associate Professor
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sniffers, with software modules performing equipment faults detection, data filtering and quality control, to provide condensed reliable phenotypes records ready for quantitative genetic analysis, breeding
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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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. • 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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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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analysis tools Can independently design and execute research projects that require care, attention to details and careful observations. Is curious, systematic, and thrives in a collaborative, international
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flexible mindset. The tasks and responsibilities range from creating experimental paradigms and data acquisition and analysis, requiring a solid theoretical and practical background in relevant fields
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Analysis AI in security and security in AI Privacy Enhancing Technologies Offensive security techniques and pen testing (Empirical) studies: All techniques, methods and tools need to reliably show their