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Finance and AC (the Danish Confederation of Professional Associations). Employment will be as Post Doc. The salary is based on seniority. Negotiation for salary supplement is possible. The working time are
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Job Description If you wish to develop your research within Science & Technology Studies (STS) and Computational Anthropology, you may consider applying for this Post Doc position (36 months). We
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gene editing assays in challenging cell types. You will characterize EVs using molecular, biochemical, and imaging approaches, collaborate closely with internal and external research partners, and
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close to completing) a PhD in biology, bioinformatics, genomics, or molecular physiology. We particularly welcome candidates with: Expertise in experimental genomics, cell biology and advanced live imaging
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Postdoc position to support international research and capacity-building projects employing elect...
Imaging of Groundwater in Complex Ethiopian Geological Settings (2025–2028)”, implemented in partnership with the Ethiopian Ministry of Water and Energy (MoWE) and Addis Ababa University (AAU). Job
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services as well as information on entering and working in Denmark here: https://ism.ku.dk/ Contact information Information about the recruitment process is available from HR, e-mail: hr-soendre@adm.ku.dk
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, chemical etching, or FIB milling is a strong advantage. Familiarity with optical setups for imaging or polarization-resolved analysis will be considered a significant plus. Responsibilities You will be part
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: fenaochs@sund.ku.dk , or Peter Haahr, e-mail: pha@sund.ku.dk . Foreign applicants may find this link useful: www.ism.ku.dk (International Staff Mobility). Application procedure Your application must be
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an interdisciplinary academic team Preferred Qualifications • Experience with radiating component development from initial concept to prototype validation. • Familiarity with satellite communication system
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non