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Field
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-footprint), emission models (e.g. IPCC, EMEP/EEA) and tools (e.g. Simapro); experience in programming languages (e.g. Python) to develop methods, models and tools is considered a strong plus. excellent spoken
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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research, such as microbiology or virology, molecular or cell biology, or biochemistry Has a high level of written and spoken English and strong communication, social, organisational and time management
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biomedical science and/or medicine. You will have led research projects in the past and have an interesting record of peer-reviewed publications. Proficiency in a high-level programming language is required as
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(Horizon Europe Programme). TRANSFORM investigates the efficacy of transformative practices as mechanisms for initiating and consolidating transitions in urban mobility cultures, and analyses the resulting
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: Socio-spatial implications of transformative practices”) is a Doctoral Network funded by Marie Skłodowska-Curie Actions (Horizon Europe Programme). TRANSFORM investigates the efficacy of transformative
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collaboration with industry and authorities. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages
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DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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engage in collaboration with industry and authorities. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one