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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
engineering, mechatronics or similar, with a completed doctorate Knowledge of the design, development, construction and characterisation of new sensors Knowledge and practical experience in the field
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optics, ideally, knowledge of electronics, Python and FPGA (VHDL) programming, interest in working with experts on a cross-institute collaboration project, very good written and spoken English language
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
discipline • Proven experience in multi-omics data analysis, variant interpretation, and/or statistical genomics • Extensive knowledge and practical experience of NGS • Experience in the usage of R (including
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with a doctorate In-depth knowledge and experience in computer tomography and experimental imaging techniques, demonstrated by publications, scientific documentation, and active participation in
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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
at scientific conferences Your profile # Completed university studies (PhD) in the field of Materials Science, Materials Engineering, Physics, Nuclear Engineering or a comparable field # Sound knowledge in
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basic microscopy techniques (required) Knowledge on basic pharmacological principles (desired) Knowledge about sperm physiology and techniques to study sperm function, e.g., semen analysis, CASA (desired
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Experience with basic molecular biology techniques (PCR, cloning etc.) Preferably knowledge in the characterization of microbial rhodopsins Skills in data analysis with Python Excellent organizational
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is active in teaching, research, and knowledge transfer. As an interdisciplinary scientific institution of Goethe University, the center provides opportunities to bring together researchers from all
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develop more efficient ways to sustainably convert CO2 . This knowledge will be generated in a scale-bridging approach (from the atomic structure of enzymes to the systems level of the cell) through highly