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such qualified individuals. For more information please contact: Dr. Alex Paarmann, e-mail: alexander.paarmann@fhi.mpg.de , Fritz Haber Institute of the Max Planck Society, Department of Physical Chemistry, 14195
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Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation
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multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive
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their respective pair and acquiring an acceptance letter from the institute/organisation of the paired fellow. The IGSTC provides a link to a matchmaking platform in the call text. Target Group early career
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
microbiome stability, resilience, and tipping points, using model systems and clinical data to uncover what drives changes from health to disease Our Microverse Mission: We integrate insights across ecological
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of sintered structures Structured storage of research data in the electronic laboratory notebook Preparation of publications, participation in conferences Supervision of students Your qualifications
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experimental studies using animal models and human cells Planning and conducting animal experiments Analyzing, documenting and presenting experimental data and results Actively participate in scientific
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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of Energy Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy