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they organise events to expand your (social) network. Additional information For more information, please contact Jie Gao, j.gao-1@tudelft.nl Application procedure Are you interested in this vacancy
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 11 days ago
qualification measures for your personal development like In-house training (e.g. project management, scientific writing, writing project proposals) Networking opportunities at national and international
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active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online
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techniques such as tensor networks, quantum Monte Carlo, ab initio calculations, and AI/ML is a plus. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Other
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, e.g. molecular biology, bioinformatics or related field Strong data analysis and coding skills in Python Experience with pediatric leukemias or precision oncology Experience with biological image
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budget, or join networks such as Young@EUR , FAME or QuEUR. Our team is diverse; we welcome candidates of all genders, ethnicities, and nationalities. Time and space for your development in the broadest
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in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. . Additional
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English LanguagesENGLISHLevelExcellent Additional Information Benefits A tax-exempt fellowship of around €3115/month (net). Based in the vibrant city of Brussels, centrally located in Belgium and in Europe
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for professional growth, tailored development and diverse responsibilities. Healthy work-life balance. Networking and engagement in impactful projects shaping sustainable agriculture. Eligibility criteria CV
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bring for this position: PhD in a relevant subject, e.g. molecular biology, bioinformatics or related field Strong data analysis and coding skills in Python Experience with pediatric leukemias