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contributions. Requirements: PhD in Physics, Photonics, Electrical Engineering, Materials Science, Nanotechnology, or a related discipline. Strong research background in integrated photonics, nanophotonics
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modeling, design, optimization and risk analysis. Excellent verbal and written communication skills in English - essential for data analysis and communication with stakeholders Strong analytical and
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-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill Competent in soft skills / general personality traits e.g. information visualization
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), data analysis, and numerical/analytical skills. Competent in project management. Ability to work independently and collaboratively in an interdisciplinary team. Entry-level candidates are welcome
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characterization (XPS, SEM/TEM, XRD), data analysis, and numerical/analytical skills. Competent in project management. Ability to work independently and collaboratively in an interdisciplinary team. Entry-level
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students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and
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academic institutions to translate research into viable solutions. Job Requirements: Preferably PhD in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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predictive control (MPC), data-driven approaches, and physics-informed models. Perform dynamic simulation and techno-economic and environmental assessment under real operating conditions and uncertainty