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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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Area of research: Scientific / postdoctoral posts Part-Time Suitability: The position is suitable for part-time employment. Job description: PostDoc for Co-Creation of biodiversity monitoring based on environmental DNA (d/m/w) Background The manifold human interventions in coastal marine...
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It...
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); German language skills are a plus For further information, please contact: Priv.-Doz. Dr. Max Masthoff, max.masthoff@ukmuenster.de , or Univ.-Prof. Dr. Cornelius Faber, faberc@uni-muenster.de More about our group
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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letter, transcript of records of the master program degree, a summary of your master thesis (if already completed) and the names (affiliation, telephone, e-mail) of two references) by October 10, 2025
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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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* Contribute to the supervision of PhD students and junior researchers Your Profile: * PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (Doctoral degree should
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with academic and industrial partners A comprehensive mentoring program, including training in soft skills, offered by the Jena Graduate Academy and the Jena School of Microbial Communication University
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and