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, improving scripts in Grasshopper, running energy simulations and supporting literature reviews, amongst others. You will be guided by an experienced postdoc in the group and collaborate with different PhD
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well as clinical service or service/assignment relevant to the subject area. Assessment criteria A PhD in molecular biology, physiology, bioinformatics, mathematics, or other quantitative biosciences. Experience in
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are looking a person with a PhD in bioinformatics with focus on DNA data analysis, who has documented experience with genomics and ancient DNA. Excellent command of English in speech and writing is required
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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doctoral thesis. The holder of a doctoral position has as primary obligation to successfully fulfill the third cycle education ending with a PhD degree. Regulations concerning appointment as a full-time
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, exemplify and motivate your interest in the PhD project topic stated under the heading "PhD project summary". Other documents: • Copies of bachelor and/or master’s thesis. • Attested copies and transcripts
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requirements A PhD or equivalent research qualification within the subject of the position. Very good oral and written proficiency in English. Solid background in small-molecule characterization. Ability to work
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randomized clinical trials is of particular merit. A PhD in a subject relevant to the position in question (e.g. biostatistics, epidemiology or medical science) is also a merit. The primary working language is
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm can identify an optimal evaluation scheme