12 assistant-and-professor-and-computer-and-science-and-data-"U" PhD positions at University of Copenhagen in Denmark
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science. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database . Terms of employment in the regular programme Employment as PhD
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The Department of Chemistry invites applicants for a PhD fellowship in computational homogenous catalyst discovery. Start date is 1.9.2025 or as soon as possible thereafter. The project The project
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Dynamics is a vibrant and creative research environment. For us, teamwork is key. We share experiences and help each other to create the best possible science in a fun and inspiring research culture. Our
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advanced methods and pilot data Who are we looking for? We are looking for candidates within the field of analytical chemistry who are enthusiastic about interdisciplinary collaboration with scientists and
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/english/ and information about the BioComplexity section can be found here https://nbi.ku.dk/english/research/biocomplexity/ Principal supervisor is Professor Joachim Mathiesen, Niels Bohr Institute. Email
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for the last decade adopted a suite of cutting-edge biophysical techniques. We utilize a blend of structural biology (single particle cryo-EM), protein design (non-canonical amino acids), fluorescence
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, computational chemistry or similar. Our group and research- and what do we offer? In our group we work with theoretical catalysis, which is based on atomic scale simulations and dynamics. In this way we have
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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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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the following competencies and experience: Essential experience and skills: You have a PhD in computational biology, bioinformatics or related areas You are highly experienced in working with NGS data and have