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genetic or genomic datasets. Experience working with GWAS summary statistics or biobank-scale genetic datasets. Proficiency in programming languages, such as R and/or Python for statistical analysis
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rules - applicants must not have lived or worked in the UK for over 12 months in the 36 months prior to recruitment Experience in programming and computational modelling using languages like Python, C
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; Excellent computational skills, including experience with Machine Learning (e.g. sklearn, pytorch, tensorflow in Python), and the ability to learn new computational techniques quickly as required; Experience
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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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programming in Python, C++, MATLAB, or comparable languages is preferable Experience with turbulent reacting flows, direct numerical simulation (DNS), Large-Eddy Simulation (LES), or combustion modeling is an
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radiation range; Proven research experience in conducting computer simulations and designing optical systems, THz emitters, or detectors. Proficiency in the PYTHON or other programming environment
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emitters, or detectors. proficiency in the PYTHON or other programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldPhysics » Solid state physicsPhysics » OpticsPhysics
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, classification, regression or quantitative image analysis, preferably with 3D CT data. Essential Application/interview/test Proficiency in Python and a modern deep-learning framework such as PyTorch, with
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statistical analyses for interpretation of AD-associated loci and genes using computational pipelines developed in R, Python, or other appropriate computing language Publish original research articles both
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Python or similar languages Knowledge of quantum optics measurements such as photon correlation functions or photon-number-resolved detection Familiarity with aspects of condensed matter and BCS