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, Sustainability Science, or related field. Experience in conducting LCAs using ISO 14040/44 standards and LCA software (e.g., SimaPro, OpenLCA, GaBi). Strong knowledge of LCI databases (e.g., Ecoinvent, ELCD) and
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, biology, biomedical sciences, or similar fields a strong background in mechanobiology, molecular biology techniques, microscopy, and image analysis Prior knowledge of microfluidics would be advantageous
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. The applicant will be offered flexibility in terms of specific research direction and career development. PURPOSE AND MAIN ROLES The incumbent will have access to cognitive neuroscience data (including EEG and
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and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative research. The ability and
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in cQED works. This will involve conceptualisation, design, simulation, and measurement of bosonic cQED systems. Qualifications The candidate should have comprehensive knowledge of the team’s
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equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability
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, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative research. The ability and willingness to adapt and incorporate novel ideas and
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Safety research, inlcuding AI authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing
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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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applications. Job Requirements: PhD in Materials Science, Chemistry, or relevant field Excellent skillsets in peptide synthesis and self-assembly Advanced knowledge of coatings and interfaces Basic knowledge