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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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-scale / high-throughput analyses. Your role: Interest in physical, spectroscopic and analytics measurements and associated technologies Creative approach to developing and adapting analytical methods
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career scientist with PhD(or equivalent) in Plant Biology, Biochemistry, Molecular Biology, Analytical Chemistry, or related field interested in integrated plant metabolomics and proteomics. Hands
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 4 hours ago
track-record in first-author scientific publications for Postdoc applications Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods) High willingness
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background in Statistical Mechanics and to mostly focus on analytical work and the development of novel quantitative methods for active matter, and to a lesser extent, on computer simulations of active fluids
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science, meteorology, or a related discipline Strong experimental skills; strong experience in analytical chemistry, mass spectrometry, and trace gas measurements using CIMS techniques Enthusiasm
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Basic knowledge of analytical chemistry, especially in trace element analysis Experience with inductively coupled plasma mass spectrometry (ICP-MS) Experience with laser ablation ICP-MS is an advantage
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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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