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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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, working at the intersection of multiple fields;- Connecting and collaborating with other national and international researchers in the life sciences and computer science;- Writing and presenting/publishing
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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
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protocols. Proficiency in mathematical modelling, data analysis, and programming (Python, R, etc.). Experience with blockchain technologies and smart contracts is a plus. Excellent analytical, problem-solving
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Skills: Proficiency with ArcGIS, MATLAB, Python, R, and MS Excel. Experience with agricultural and construction equipment. Knowledge of load securement and driving large trucks and trailers. Please include
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field sites. Preferred Skills: Proficiency with ArcGIS, MATLAB, Python, R, and MS Excel. Experience with agricultural and construction equipment. Knowledge of load securement and driving large trucks and
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. · Proficiency in programming languages such as Python, Pytorch/JAX, AWS. · Knowledge of energy market mechanisms and policy considerations is a plus. · Excellent communication skills and the ability
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan
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. PV field system data analysis (time-series data analysis with JMP software and /or Python). Accelerated ageing procedures (IEC standards). PV module failure modes. Corrosion. Strong communications
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Institute, Stanford University), our lab has access to one of the largest iPSC biobanks in the United States, which give us access to multiple cell lineages carrying mutation in multiple genes key