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Field
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observed with SAR, to detect changes in the ITD caused by sea ice divergence and convergence, during Arctic storm events. This Postdoctoral position fits into WPs 2 & 3 of DynAMIC. The researcher will
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purifying the resulting libraries to achieve a quality compatible with different sequencing technologies. - Bioinformatic analysis of the sequence content of enriched DNA libraries. In collaboration with
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deformation and linear kinematic feature (LKF) evolution observed with SAR, to detect changes in the ITD caused by sea ice divergence and convergence, during Arctic storm events. This Postdoctoral position fits
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of recurrent neural networks would be a plus; Strong programming skills (e.g., Python, MATLAB or C/C++) are required. Experience with scientific libraries would be a plus. The position is for an initial
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of classification algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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at the Institute for Regeneration and Repair. In this role, you will contribute to cutting-edge research using genomic data to understand why critically ill patients respond differently to infection. Your work will
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), including during a postdoctoral fellowship. Experience with high-performance computing centers as well as with modern statistical software (R, etc.) and programming languages (Python, etc.). The candidate is
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molecular dynamics and machine learning. The candidate should have proficiency in scientific programming with Python or C++ and familiarity with machine learning libraries like Torch or TensorFlow