62 experiment-fluid Postdoctoral positions at Technical University of Denmark in Denmark
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activities will be continuously adapted to ensure high relevance and impact. The successful candidate is expected to have experience and expertise in one or more of the following subjects: Experience in
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degree (or equivalent). More specifically, you are expected to have documented experience in one or more of the following: Wet-lab chemistry methodology. Metal-organic framework synthesis and
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outstanding drive and excellent scientific achievements. Required qualifications: Practical experience with fabrication of optical nano- and micro-structures such as PICs. Practical experience with optical
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physiological characterization of the optimized microorganisms. Qualifications As responsibility is to optimize selected food grade microorganisms, extensive experience with microbiology and metabolic engineering
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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continuous trickle bed reactor setup as well as supporting experiments on and advanced continuous slurry reactor setup. Characterization of gas phase and liquid phase products using a range of characterization
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qualifications are: As a formal qualification, you must hold a PhD degree (or equivalent) experience within Mechanical Engineering, Manufacturing, Industrial Engineering, or other relevant field. Hands
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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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well as experience working with animal models and/or cellular assays, and you are looking for an opportunity to put your skills into practise, you have it right here. The Research Group for Food Allergy at the DTU
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Embedded AI, Edge AI, TinyML, and AIoT, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system