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dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive research environments. TUD is one of eleven
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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formation under conditions as natural as possible along the gradient. We will measure 13CO2 fluxes in the field and combine these data with the incorporation of the 13C tracer into different SOM fractions
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
information Further information may be obtained from Chief Scientific Officer and Chief Partnerships Officer Dina Petranovic Nielsen dpet@biosustain.dtu.dk You can read more about DTU Biosustain at https
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The Laboratory of Cortical Information Processing | Vision to Action at NERF ( www.nerf.be ) invites applications for a PhD student to join a Simons Foundation-funded, collaborative research
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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technique. If successful, this could pave the way to nano-optical read and write heads for future data storage as well as to direct sequencing of nucleic acid and protein sequences by scanning-probe Raman
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information on the QM centre, please visit https://www.sdu.dk/en/qm . Application deadline: 1 August 2025 at 23:59 hours local Danish time. Contact information - Questions should be directed to (qm@sdu.dk