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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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characterization setups, and access to platforms for atomic-scale material characterization and to fully equipped cleanroom facilities (https://pta-grenoble.com ). Position Overview The position will strengthen
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material preparation, including weighing, dispensing, and documentation. Driving the scale‑up of manufacturing processes from lab to pilot or industrial scale. Preparing technical documentation and
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................................................................................ Up to 20 points PhD in Physical Sciences ..................................................................... Up to 12 points Master’s Degree in Physics
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the functional properties of novel ferroic material systems and correlate their nanoscale ferroelectric, ferroelastic, optical, and electrical responses with structure and environment, with relevance
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conditions during Rome’s expansion and whether they differed between Italy and rival regions, with implications for the balance of power in the region. Requirements The successful candidate has a PhD in
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environment. The new postdoctoral fellow will join a large team, currently twenty members, which is led by three faculty members and three senior scientists. The candidate will hold a PhD in Statistics
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rising, highly ranked engineering schools in the nation. The school consists of four departments with 130 tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD
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prior teaching experience and the department’s need for teaching during the period of employment. Your qualifications Applicants are expected to hold or be close to completing a PhD in political science
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refer to medical doctor, PhD, Helene Kildegaard and Professor Anton Pottegård, but he/she will also be expected to contribute to the whole research unit whose research areas span from pharmacoepidemiology