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management systems of the future together! Our research focus: The researchers working at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and
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, from September 2025 a Postdoctoral Researcher – Longitudinal Proteomic Analysis (Wet Lab & Data Science) Reference number: 2025-0174 The Division of Medical Physics in Radiation Oncology develops new
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of information processing), and formal epistemology (in particular, formal representations of inattentiveness and unawareness). This project will involve philosophical / linguistic analysis, experiments with human
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of the extracts; LC-MS and bioactivity-guided isolation and structure elucidation of the purified metabolites Supervising and training students Maintain analytical equipment Cooperate with other large collaborative
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
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committed work style Advanced experience in preparing data according to conversation-analytic criteria and standards (e.g., transcription, metadata documentation) and relevant tools (FOLKER, ELAN, etc
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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, Learning Analytics, Data Science, Cognitive Science, or a related field, strong scientific profile, with nationally and internationally visible research (shown by relevant publications) in fields highly