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injection, and hydrogen storage could be affected by microorganisms consuming the stored hydrogen. The goal is to collaborate with industry and authorities to optimize subsurface use while minimizing
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journals. Previous industry experience is an advantage (working with industry or collaborating with industrial partners at fermentation design and/or optimization). We expect that you are an efficient team
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and ability to work in teams. Excellent English skills, written and spoken. Preferred qualifications: The optimal candidate has expertise in small-angle scattering techniques, including advanced data
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designing, optimizing, and demonstrating an integrated MD–PEM system. The position will focus on tailoring operational parameters for both processes to achieve stable, high-efficiency hydrogen production from
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research areas include, but are not limited to, approximation algorithms, combinatorial optimization, cryptology, data structures, fine-grained complexity, and algorithmic research bridging to ML/AI. Tenure
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of scanning workflows and optimization of acquisition parameters. Prepare documentation, figures, and short reports summarizing experimental outcomes. Qualifications Experience with data analysis, signal/image
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research collaborations. Proven expertise in designing, developing, and optimizing biological assays is essential. We value independent researchers with experience in translating basic science into clinical
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, system identification, and/or optimization. Candidates are expected to hold an academic background in civil, electrical, or mechanical engineering, with a preferred focus on structural dynamics, signal
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, etc. has significant experience with disseminating and making own professional competencies visible in broad societal circles aiming to optimize the impact of the research and the educations. This will
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and ability to work in teams. Excellent English skills, written and spoken. Preferred qualifications: The optimal candidate has expertise in small-angle scattering techniques, including advanced data