21 algorithm-development-"Multiple"-"Prof"-"St" Postdoctoral positions at UNIVERSITY OF HELSINKI
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services to its employees, including occupational health care and health insurance, high-quality sports facilities, and opportunities for professional development. How to apply The application must include
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the ability to build scientific relationships Has good communication skills and proficiency in verbal and written English We provide Opportunities for personal development in an enthusiastic, supportive and
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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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in the heart of Helsinki. The researcher will develop their expertise in the field of textual studies of the Hebrew Bible / Old Testament. Requirements for the position and assessment of qualifications
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written English We provide Opportunities for personal development in an enthusiastic, supportive and international team that has strong track record in nutritional physiology Possibility to produce high
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of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
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inspiring, creative teamwork in a modern, research-oriented institution in the heart of Helsinki. The researcher will develop their expertise in the field of textual studies of the Hebrew Bible / Old
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occupational healthcare and opportunities for professional development. Further information can be obtained online . The employment contract will be subject to a probationary period of six months. HOW TO APPLY
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, the University of Helsinki’s comprehensive employee services include occupational healthcare and opportunities for professional development. Further information can be obtained online . The employment contract
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resistance and microbiomes, statistical analysis of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work