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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 12 days ago
performing preclinical fMRI or fUSI studies, including data analysis, rodent handling, surgery and behavioral experiments. Strong programming skills (e.g., Matlab, Python) are required. Additional knowledge
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their fundamental knowledge in basic cell function to engage creative new concepts of biological engineering to translate mechanistic insight from model organisms, in particular yeast, into more complex cellular
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oceanography, or related (required) Experience with eddy covariance or other direct flux techniques (desired) Strong knowledge of the marine carbonate system, including TA, DIC, pH, and pCO₂ observations
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discipline Experience with mammalian cell culture (including primary cells) is desirable Knowledge of pluripotent stem cell cultivation is desirable Experience with and high motivation for microscopy
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput
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, physics, engineering or a related fiel In-depth knowledge of semiconductor technology and the physics of multijunction solar cells Hands-on experience in processing thin films and perovskite/silicon solar
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 hours ago
environmental models, preferably of the ocean and ocean-biogeochemistry Knowledge in data assimilation methodology and application Further Information The AWI is characterized by The AWI is characterized by Our
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, biochemistry, molecular biology or related field. Sound knowledge of standard molecular biology techniques (Western blot, PCR, qPCR, flow cytometry, cloning). Good knowledge of nucleotide and organic chemistry
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to work in an interdisciplinary environment. Desirable Skills: Experience working with or supporting a scientific facility/instrument platform. Knowledge of graph-based methods, manifold learning
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synthesis ideally thin-film deposition (PVD and/or ECD) Knowledge of thermoelectric materials, microfabrication, or device development is an advantage Experience in structural, chemical and transport