1,060 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"P" PhD positions
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environment Proven ability to use a scientific programming language such as python or MATLAB for signal processing A desire to improve therapies available to patients with neurological conditions Excellent
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Entry’ field Enter programme code 8420F in the ‘Course Title’ field Leave the ‘Research Area’ field blank Press ‘Search’ Select ‘PhD Biosciences (FT)’ Save selection In the ‘Further Details’ section: A
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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the requirements of the Belastingdienst (Dutch tax agency), and with our Dual Career Programme we will also help your partner find the right job for them. Employer Erasmus University Rotterdam (EUR) is
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(iGSS Track II) who will work in an inspiring and exciting research environment. The iGSS offers a graduate program that combines cutting-edge research with a curriculum of lectures, colloquia, and
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much encouraged and should be directed to Dr Catarina Rendeiro (c.rendeiro@bham.ac.uk ) To apply, click the 'Apply' button above. Apply to programme 0355 PhD Sport & Exercise FT and select ‘Dr Catarina
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an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as a PhD student. The PhD program will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on
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be desk-based and will require programming skills. It will suit those who are creative and open to new ideas. Occasional visit to a case study area may be needed, though no field work is planned
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three years. Employment stops automatically at the end of the period.(the 5+3 programme ). Further information about the PhD programme at the Faculty of Science can be found at the homepage
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related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun