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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures. At the Institute of Energy Technologies – Fundamental Electrochemistry (IET‑1), we
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Researcher (R2) Application Deadline 17 Feb 2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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-career faculty members. Key Outcomes: High-performing, diverse team aligned with UCA’s academic mission. Strong Central Asian representation in research delivery, educational programming, administration
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Framework Programme? Other EU programme Reference Number 2026/4 Is the Job related to staff position within a Research Infrastructure? No Offer Description Project: 564150004 - PT23/00137 Clinical Research
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experience preferred. Preference will be given to those applicants with demonstrated leadership skills, with educational accomplishments beyond high school, and with working knowledge of computer-aided
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of new high-performance materials. Who we are looking forThe following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a
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Safety Program. Requires extensive safety training. Stockroom or warehouse. Alternative work schedules. Exposure to chemicals. High noise environment. Requires protective devices. Dust, dirt, grease
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or delivery. Administration:Effectively and efficiently administer the LEAD program and associated programs. Hires and supervises qualified employees to provide high-quality work performance. Oversees budget
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STEM Center activities; in addition to acting as an external program evaluator on other grants, as applicable A Bachelor's degree or an equivalent combination of education and experience and 3 years
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning