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or bioinformatics with strong experience in applied omics research Knowledge in programming languages and statistical analysis Experience with the analysis and integration of high throughput data such as NGS and
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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parallel seagrass projects What do we expect from you? You have a researcher personality, and your desire to understand our environment is driven by scientific curiosity. Applicants must have a university
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opportunity to address a broad variety of fundamental and applied ecological questions in fields like metacommunity theory, time series analyses, multiple stressors responses, invasive species, ecological
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Hospital Bonn, the position will be affiliated with a newly established junior research group focusing on early detection of Alzheimer's disease using multiple layers of omics data and statistical modeling
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qualifications and skills: You hold a Doctorate degree (Ph.D.) in data science, bioinformatics, computational biology, genetics, or a closely related field. You have a strong background in machine learning (e.g
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Proficiency in bioinformatics, single-cell omics, or advanced imaging analysis Familiarity with functional readouts (e.g., MEA, calcium imaging, electrophysiology) is a plus Competitive applicants must have
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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legislative approaches across multiple jurisdictions, and identifying innovative legal mechanisms for strengthening the protection of future generations. The preferred starting date is 1st September 2025, with
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
, biophysics and cell biology located at the center of the Frankfurt science campus. It consists of four scientific departments, multiple research groups and scientific core facilities, with about 200 employees