23 computer-science-programming-languages-"the"-"U"-"UCL" positions at University of Copenhagen
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of the integrated programme To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in physics or quantum information science. Students
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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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culturing, etc.) Strong interest in phage biology & antimicrobial resistance Preferred: Experience with omics data analysis (esp. RNA-seq, proteomics) Bioinformatics tools and computational skills (R/Python
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Theoretical High Energy Physics/Mathematical Physics. The position is associated with a research program “Quantum Quenches from Quantum Fields”, which is financed by The Villum Foundation and directed by Prof
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, Chinese Academy of Sciences. E-mail: zmwei@semi.ac.cn The PhD programme Qualifications needed for the programme To be eligible for the regular PhD programme, you must have completed a degree programme
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Minimum of three years of hands-on experience with molecular biology or biochemistry laboratory techniques Strong computer literacy and familiarity with digital tools used in laboratory environments
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Rossmeisl, Department of Chemistry, Jan.Rossmeisl@chem.ku.dk , Direct Phone: +45 5071 9584 The PhD programme Qualifications needed for the regular programme (5+3) To be eligible for the regular PhD programme
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assistant, you are currently enrolled in an educational program (i.e. an active student), preferably with at least 2 years of study left. We encourage students from any field of study to apply, provided
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Other professional activities Curious and self-driven mind-set with a strong interest in experimental biology Excellent language skills, both spoken and in writing All highly motivated and ambitious
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. Excellent English skills written and spoken. Experience with usage and programming in R. Desirable experience and skills: Basic knowledge of regression analysis Place of employment The place of employment is