{"id":1735,"date":"2016-03-14T12:02:06","date_gmt":"2016-03-14T12:02:06","guid":{"rendered":"https:\/\/nextmovesoftware.com\/blog\/?p=1735"},"modified":"2016-03-14T15:57:55","modified_gmt":"2016-03-14T15:57:55","slug":"phd-positions-available-in-big-data-analysis-in-chemistry","status":"publish","type":"post","link":"https:\/\/nextmovesoftware.com\/blog\/2016\/03\/14\/phd-positions-available-in-big-data-analysis-in-chemistry\/","title":{"rendered":"PhD positions available in Big Data Analysis in Chemistry"},"content":{"rendered":"

\"\"<\/a>NextMove Software is a partner in the\u00a0Horizon 2020 MSC ITN EID BigChem <\/a>project. Ten PhD positions\u00a0are available in the area of “Big Data Analysis in Chemistry”, all of which offer a mix of time spent in academia and with industrial partners. The following position involves a placement with us for 3 months:<\/p>\n

ESR2: Computational compound profiling by large-scale mining of pharmaceutical data<\/h3>\n
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This position is announced within the BIGCHEM project. <\/a>Read about the carrier development perspectives.<\/a><\/p>\n

Check eligibility rules<\/a> as well as recruitment details<\/a> and apply for this position before 20 March 2016<\/strong>.<\/p>\n

Objectives: <\/strong>In the life-sciences, data is being generated and published at unprecedented rates. This wealth of data provides unique opportunities to get insights into the mechanisms of disease and to identify starting points for treatments. At the same time, the size, complexity and heterogeneity of available data sets pose substantial challenges for computational analysis and design.<\/p>\n

Aim of this project is to address the challenges posed by large, heterogeneous, incomplete, and noisy datasets. Specifically, we aim to:<\/p>\n