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Field
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characterization and engineering of bio–nano interfaces • Participation in a highly interdisciplinary and internationally visible research programme combining colloid science, molecular self-assembly, biointerfaces
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%) Mentor graduate students in the research group. (5%) Qualifications Required qualifications PhD in Aerospace Engineering Preferred qualifications A strong theoretical/computational background on functional
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://www.academictransfer.com/en/jobs/362803/postdoc-research-position-on-de… Requirements Specific Requirements A PhD degree in Human-Computer Interaction, Interaction Design or a related discipline A strong publication record
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to design and produce novel energy harvesting devices for the development of self-driven neural interfaces. Where to apply Website https://jobs.icn2.cat/job-openings/850/predoctoral-researcher-advanced
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the rational design of next-generation treatments for complex diseases such as schizophrenia and dementia. This role offers an exciting opportunity to work at the interface of molecular pharmacology, cell
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these interactions. This track is particularly suited for candidates with a PhD in bioinformatics, structural biology, computational biology or a related field, and experience in computational structural biology
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A central pillar of the activity
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About us The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. You will join the Computational Cancer Biology Group led by
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, OSDI). We are looking for a candidate who is comfortable "looking under the hood" of the operating system. You do not need prior experience with optics. PhD/Masters in Computer Science, Electrical
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to open-source releases Your profile - PhD in Meteorology, Physics, Computer Science, Environmental Sciences, or a related field - Experience with atmospheric models and geostatistical interpolation methods