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of RNA-binding proteins involved in melanoma progression. Appropriate candidates should have expertise on 2D-PAGE and analysis of protein phosphorylation. Candidates must hold a PhD degree and be fairly
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training PhD in a relevant field of study and completed within a well-established research environment Languages Proficient in written and spoken English Technical skills Fully fluent in techniques
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the analysis of (RNA) sequencing data Experience with common lab techniques in cell & molecular biology The candidate must hold a PhD degree, preferably in cell/molecular biology or bioinformatics, or related
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the field of molecular and cellular biology You have advance knowledge of bioinformatic analysis Education and training You hold a PhD in Biology or equivalent Languages You are proficient in English
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required/ Nice to have You have experience uploading data to the ENA Education and training You hold a Phd in quantitative genetics or a related discipline Languages You are fluent (oral & writing) in
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required/ Nice to have You have experience uploading data to the ENA Education and training You hold a Phd in quantitative genetics or a related discipline Languages You are fluent (oral & writing) in
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-based principles. The successful candidate will train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical
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Must Have You have experience in cell biology, molecular biology, biochemistry You are eager to learn and work in a collaborative research environment Desirable but no required / Nice to have You have
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cell biology, molecular biology techniques and microscopy You are eager to learn and work in a collaborative research environment Desirable but not required/ Nice to have Previous exposure