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experience in these areas. Personal qualities such as collaboration, communication, strong drive and motivation, critical thinking abilities, creativity and analytical skills are essential. You should be able
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function is directed by the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and
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expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells
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of Python language Knowledge in XRD and/or XRF analysis. Eligibility Appointment to the position of postdoc requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within
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. Requirements PhD degree in biochemistry or structural biology, or an exam which is judged comparable to a Swedish Ph.D in biochemistry or structural biology. The degree needs to be obtained by the time of
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requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses. You are expected to be somewhat accustomed to teaching, and to demonstrate
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postdoctoral position in data analysis, where you will apply machine learning techniques to understand how resistance genes spread and to help detect infections caused by resistant bacteria. The position is part
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projects, from proposal writing to data analysis and preparing publications. Interest in developing new experimental setups, sample environments and detection schemes, which can advance experimental
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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. Qualification Requirements PhD degree (or a foreign degree equivalent to a PhD) in genetics, genomics, molecular biology, cell biology, or a related field. The degree needs to be obtained by the time of