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academic qualifications at the PhD level in the area of biomedical research. Experience in CRISPR/Cas methods, flow cytometry, NGS, and mouse xenotransplantation experiments are required. You should be able
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at PhD level, for example within the following area: Cancer immunology, drug delivery. Experience with in vitro and in vivo experiments, flow cytometry, and RNAseq is required. As a person, you have good
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the wider scientific community Formal qualifications You must hold a PhD degree in chemical engineering, computer science, software engineering, data science, or a related discipline. We offer DTU is a
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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involve the following tasks: Supervision of BSc/MSc and PhD students related to the project. Performing catalytic tests on upgrading pyrolysis oil and pyrolysis oil model compounds using an advanced
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metabolomes (targeted and untargeted) and plant transcriptomes In addition to collaborating with project partners, you will join an active and expanding community of PhD and Postdoc students in the plant
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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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including supervision of BSc and MSc students associated with the project As a formal qualification, you must hold a PhD degree (or equivalent). In the assessment of the candidates, consideration will be
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frameworks, applying existing frameworks, and implementing novel methodology in shared code repositories. You will also assist in instructing and guiding the research of MSc and PhD students. Qualifications As
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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the