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. Expertise in biochemistry, proteomics, and protein bioinformatics is required Experience in mice handling and behaviour, microscopy, or electrophysiology is desirable Experience working with brain tissues and
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understanding of chemical safety regulations and frameworks: CLP, REACH, SVHC lists, and GHS classification. Demonstrated experience with: Hazard and risk assessment methods (e.g., QSAR, NAMs, in silico tools
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. Your competencies We imagine that you: have a background in digital signal processing and machine learning. have substantial experience with scientific computing in Python and ideally also MATLAB. have
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of microbial biofertilizer strains, generating large-scale datasets across all stages—from laboratory experiments (thousands of strains) to in-field testing of up to 800 strains. The scale and standardized
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equivalent) in Innovation Management, Circular Economy, Business Engineering, Environmental Engineering, Production Engineering, Design & Innovation, or related field Experience with business modelling tools
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience
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or similar. Background in applied physics/materials science. Experience in STM Experience in programming or writing analysis software is advantageous. Previous experience in nano/micrometer-size device
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fluent in English (written and spoken), hold a PhD degree within epidemiology and have a track-record within the field of observational research, preferably within pharmacoepidemiology. Experience with