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Inverse Design of Perovskite-Based Materials for Photovoltaic Devices Your Job: As a PhD candidate, you will develop and deploy an artificial intelligence (AI)-driven approach to streamline high-throughput
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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Physiology” and “Neurobiology” is advantageous ability to work independently and capacity for teamwork What We Offer a varied job with flexible working hours free use of public transportation (“LandesTicket
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of home-office Offer of professional training courses and measures for skill improvement Compensation according to TV-L (including annual special payment) Contribution to your company pension plan (VBL
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of MS Office, including Word, Excel and PowerPoint very good written and spoken English skills self-motivated, independent and responsible working style and high organisational skills ability to work in a
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Description Reference number 3705 Pay grade 13 TVöD Place of work Berlin Limited for three years Application deadline 10.06.2025 Apply here BfR job [jsp?id=003705en&dbv3_man=allgemein-Datei
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qubits through advanced characterization techniques. Job description: The candidate will synthesize novel transition metal-based complexes designed to exhibit desirable spin properties. They will perform
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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pathophysiology Basic expertise in toxicology (e.g. through DGPT training courses or relevant study or work experience) Experience in the establishment of test systems Full job description: https://www.bfr.bund.de
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by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Job ID: TRR408