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Job Code: 02-2025 Job Offer from June 06, 2025 The “Neuroimmunology of Ageing” group at the Max Planck Institute for Biology of Ageing is devoted to exploring the intricate and dynamic interplay
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analysis; Ingesting structured and unstructured data sets into GCP, building and maintaining data processing pipelines, and delivering improvements to product code and documentation to increase analytic
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geoenvironmental test work approaches and new or emerging technologies/techniques in this area Data science experience (including programming/coding) is desirable Industry experience or placements in the minerals
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outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc. Have a proposal which is
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
insurance schemes Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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the State Pension Plan Opportunity for physical activities within working hours Salary PhD Research Fellow (code 1017): NOK 536 200 a year. Further promotion will be based on time served in the position. A
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3 years postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience working with remote sensing. Experience with crop physiology is a plus. Strong numerical
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undertaken for the University is performed in the UK. Visa Sponsorship Queries: This role has been assigned an eligible SOC code, and meets the salary requirements for Skilled Worker Sponsorship if full time
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https