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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 17 days ago
. The institutes consist of six scientific departments and several research groups with approximately 350 employees and scientific guests who work together in an international community and are supported
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very good communication and collaboration skills in an interdisciplinary and international setting. We offer: • The exciting opportunity to work in a world-class institute within an interdisciplinary and
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. The teaching responsibility is four credit hours per week. Possible teaching languages are German and English. Excellent communication skills are required. The salary level is TV-L 13. The start date is flexible
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and their microenvironment, with a focus on immune cells, stromal components, and their metabolic communication. One central aim is to identify novel therapeu-tic targets for next-generation immune and
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-resolution MS platforms is a strong plus Willingness to manage and initiate cooperative projects Service-oriented mind-set with excellent organizational and communication skills; ability to manage multiple
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strong team spirit German language skills are not required; working language can be English What you can expect A vibrant and innovative research environment at one of Europe’s leading applied research
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ecologist (m/f/d) with a background in community ecology, macroecology, metacommunities, and/or analysis of ecological time series. The applicant should have a strong track record of scientific publications
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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desirable Excellent analytical, organizational, and communication skills English proficiency required Benefits A multicultural, multidisciplinary and highly motivated team A dynamic and supportive research
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning