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categories View less categories Academic Discipline Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences , Physics & Astronomy Job Type Academic Posts , Studentships
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biostatistics/bioinformatics, implementation science, medicine, health economics, social work, sociology, clinical psychology, or epidemiology or related fields. Expertise in research design and data
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PhD student who are also involved in the projects Taking responsibility for the functioning of research equipment Experimental design, data analysis, writing of scientific articles and presentations at
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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
next to the HPC, giving our projects direct access to extensive, state-of-the-art instrumentation across both life science campuses — Viikki and Meilahti. We are hiring in three areas. You may apply
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Vienna Doctoral School of Microbiology and Environmental Science - Doctoral Positions (AUTUMN CALL 2
of the full pipeline from sample collection to data interpretation. You bring a background in soil science, microbial ecology, or biogeochemistry, and a MSc degree in a related field, paired with
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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, ranks among the top 20 universities worldwide and offers an exceptional working environment with very competitive salaries. The IMOS Lab (https://www.epfl.ch/labs/imos/ ) offers a highly motivating
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properties and the collection and use of geophysical data. Our interests span Earth’s interior, near-surface, oceans, and atmosphere, as well as planetary science. The successful candidate will teach
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cells, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High