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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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experience, for example, during conference participations or a lab research stay. This setup enables the PhD students to become the outstanding data scientists of tomorrow. The application deadline is
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 1 month ago
have hands-on experience in crop genomics and managing genotyping data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using
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perception experiments for prosodic analysis. For the advertised PhD researcher position, this work involves conducting prosodic production and perception experiments on reprise questions and other non
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van der Waals materials; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD
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; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD strives to employ more
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field (Biology, Psychology, Evolutionary Anthropology, Linguistics, Cognitive Science, or similar), and experience with collecting and analyzing behavioral data, as documented through course work or
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for planar scanning probe microscopy to conduct experiments on scanning nanogap cavities, notably scanning probe microscopy of defect centers in 2D materials • Continuous improvement of scanning probe
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collaboration Initiative Structured and goal-oriented approach to work Open-minded personality, teamwork and communication skills Above-average academic performance Experience with cell and molecular biology