83 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions in Belgium
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Computer Science, with specialization on applied machine learning, statistical methods, and/or autonomous systems Strong programming skills Strong analytical skills Industry experience in information and
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of programming languages such as Python or R and prior experience with data science, high-throughput omics such as single cell and/or transcriptomics, and statistics, is a plus. Expertise in one or more of the
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an excellent reputation in technology transfer. The VIB Technologies program constitutes the centralized scientific research infrastructure of the institute and allows scientists access to high-end and
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creep and shrinkage Experience in scientific writing or high-impact research collaboration Programming or scientific-computing skills with tools such as MATLAB and Python for model implementation and data
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educational vision . Your research qualities are in line with the faculty and university research policies . You are willing to apply for (additional) research funding. You are able to plan and organise your
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, the candidate will be expected to finetune the final research design of their case study to fit the broader project, and to develop their ethics and data management plan in line with the project’s existing
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, the candidate will be expected to finetune the final research design of their case study to fit the broader project, and to develop their ethics and data management plan in line with Justice Vision’s broader
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). You have followed courses in Learner Corpus Research and/or Second Language Acquisition in your academic programme and as testified in your academic transcript. You are comfortable working with digital
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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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their case study to fit the broader project, and to develop their ethics and data management plan in line with the project’s existing architecture. This includes reading the suggested readings and identifying