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Field
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candidate will support experimental work related to biogas production, biomass characterization, and process optimization. Tasks will include laboratory-scale anaerobic digestion experiments, analytical
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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neurobiology, biochemistry, genetics, and proteomics. Expertise in APEX/BioID-based proximity labelling, biochemistry, proteomics is required Experience in mice handling and behaviour, microscopy, AI protein
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types, depositional systems and tectonic settings within the North Atlantic and Northwest Europe. You have experience in creating and establishing research projects with different partners, as well as in
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Education and Beyond. The project addresses a key issue in contemporary education: how educational practices cultivate, recognise, and value certain bodies and sensory experiences in learning contexts while
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, nanoscience, biotechnology, immunology, or a closely related field. Documented hands-on experience with isolation and characterization of extracellular vesicles (e.g., size-exclusion chromatography, density
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is the preparation and exploration of data coming from a field experiment we ran on Facebook, aiming at reducing online incivility and increasing counterspeech. You could be responsible for data
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in energy-system modelling, mathematical optimization, control, digital twins
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages