59 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at UNIVERSITY OF HELSINKI
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remain open until a suitable candidate is found. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407944/doctoral-researcher… Requirements Additional Information Work Location(s
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quality research and participate in transdisciplinary research Proficiency with computer programming languages (Python, R or related language) The selected appointee must enroll as a PhD student at the
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relationships, eager to learn, and able to inspire and persuade collaborators both within the University and across its partner network. You work flexibly as part of a team while handling your responsibilities
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will be given to teaching experience, experience in positions of responsibility in teaching as well as pedagogical training, teaching development projects, the ability to produce learning materials
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well as quantitative analysis methods and examples of modern approaches in fundamental research. The university teacher selected for the position will be the responsible teacher on selected courses, teach on courses
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separate application. If the appointee is not proficient in Finnish, they are expected to acquire intermediate level skills (CEFR level B2; https://europa.eu/europass/en/common-european-framework-reference
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website at https://www.helsinki.fi/en/faculty-medicine/about-us/work-us How to apply Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button
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approaches in fundamental research. The university teacher selected for the position will be the responsible teacher on selected courses, teach on courses coordinated by other teachers and to assist professors
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teaching experience and pedagogical training, the ability to produce learning materials, additional teaching merits, a demonstration of teaching skills if required, and involvement in doctoral education
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on the ENERPOL home page https://cordis.europa.eu/project/id/101226229 Project description The successful applicants will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training