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on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction
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, computer-aided drug design or a related field. Track record of scientific innovation, as demonstrated by scientific publications, patents, relevant presentations, or software code. Demonstrated experience in
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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction of our work: Lauer et al. (2022): Metabolic
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(> 8.000€/year) for travel and participation in international conferences and workshops is available. Application Procedure Please submit the requested documents via MathJobs.org: 1. Motivation letter 2
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performance of minor crops and improve cultivation techniques (led by the PostDoc at ZALF); (iii) develop low-tech pre-processing technologies; (iv) capture the value of minor crop food products into new
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obtained an outstanding doctoral degree in disciplines such as stem cell biology, neuroscience, biomedical engineering, cancer biology, or related fields and a proven record of high-level research
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 8 days ago
experience in protein isolation, digestion and fractionation using high pH chromatography, as well as in the operation and maintenance of mass spectrometry instruments (ideally Thermo). In addition
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based