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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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PhD degree (or equivalent) in Manufacturing Engineering, AM, or related field Experience with metrology of small to large scale laser-based metal AM components (e.g. DED, powder-bed fusion) Experience
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. Expertise in biochemistry, proteomics, and protein bioinformatics is required Experience in mice handling and behaviour, microscopy, or electrophysiology is desirable Experience working with brain tissues and
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, or biomedical engineering (the degree should have been completed within the last 5 years at most) with at least 3 years of experience in designing Artificial Neural Network (ANN) or Spiking Neural
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enthusiastic postdoctoral fellow with the following competencies and experience: Required qualifications: Educational background in biochemistry, human biology, nutrition, or related sciences PhD in basic
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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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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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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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fluent in English (written and spoken), hold a PhD degree within epidemiology and have a track-record within the field of observational research, preferably within pharmacoepidemiology. Experience with
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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