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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
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responsible for project milestones and deliverables. Teach and supervise MSc student projects For this position, experience with simulation development and coding is essential. We expect the candidate to have
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, particularly scaling relationships and their implications for catalyst design. Spectroscopy and Instrumentation: Hands-on experience in the design, construction, and operation of in-situ spectroscopic setups
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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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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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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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development and application of single-cell proteomics by MS (scp-MS) workflows Advanced computational/bioinformatics analysis skills Experience with mammalian cell culture techniques, ideally including
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to this, we expect you to run scientific experiments of your own, both in order to investigate the requirements from a researcher's point of view while also helping grow your own portfolio of state-of-the-art
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areas: Experience with culturing fungi and in particular basidiomycetes Using fungi biomass for food applications MALDI TOF biotyper Microbiology Work with DNA and RNA analysis Phenotype screening Enzyme
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are looking for candidates with: A PhD in electrical engineering, biomedical engineering, physics, or a related field Strong programming skills in LabVIEW and C++, with experience in real-time control systems