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Post-doctoral Researcher in Chemistry with Focus on Functional Bioinformatics and Chemometrics

Örebro University

Örebro, Sweden

Duties and responsibilities

The post-doctoral researcher will be a key person in several projects aiming to find solutions for prioritization, assessment and management of contaminants. The focus is two-fold:

  • taking part in several EnForce projects for data analysis. Hereto, clustering and supervised learning methods from both functional bioinformatics and chemometrics need to be applied. Data of different methodological approaches (chemical analysis, bioreporter assays, including high-throughput metabolomics, proteomics and transcriptomics) need to be integrated to filter multivariate signatures, both to predict risc scores, but also to advance our understanding for the biological/environmental impact of combinations of pollutants;
  • further development of supervised learning methods as well as integrative bioinformatics approaches towards risk assessment of complex chemical profiles of environmental samples. Developing analysis methods for newly developed bioreporter assays and combinations of several assays to improve effect-directed analysis.

Responsibilities also include cooperation with the data management service of the profile, supervision of students, teaching, and to communicate research results with researchers and industrial partners.

Eligibility

Eligible for the position as postdoctoral researcher are applicants holding a doctoral degree in bioinformatics, biomathematics, biostatistics or in related subject areas. The doctoral degree should have been awarded no more than three years prior to the application deadline. Candidates who have obtained their doctoral degree prior to that may however also be considered if special grounds exist (leave of absence due to illness, parental leave, an elected position in a trade union, or other similar circumstances).

Assessment criteria

Documented knowledge and experience in biostatistics and statistical learning, involving methods development for advanced analysis of biological high-throughput data is a requirement. Experiences with chemometrics methods as well as with concepts of risk management of polluted environmental sites are merits. The successful candidate should be creative, have the ability to both co-operate and work independently with research questions. Proficiency in written and spoken English is a requirement. General assessment criteria include good interpersonal skills and an ability to cooperate as well as the ability and suitability otherwise required to perform the duties well.

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