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, of conducting complex analytical analysis to a high quality, using a range of advanced statistical or modelling techniques such as multi-level models, Bayesian approaches, latent variable models or Markov models
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, performance measures, forecasting tools, and staffing models that support both operational excellence and long-term growth. The position partners closely with executive leadership, academic units, government
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cells in disease, aligning preclinical models with human data. We have previously shown how clone location and exposure to oncogenic signals determine tumour forming potential. The aim of this project is
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) Life and Disability Insurance Paid Time Off: 20 days of vacation per calendar year, 12 days of personal/sick time Paid Holidays and Special Days Off: https://www.bowdoin.edu/hr/our-workplace/college
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programme Reference Number AE2026-0216 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0216
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team. The position is based on JUNIA's Lille (Vauban) campus, offering a stimulating academic and collaborative environment. Your Responsibilities : Where to apply Website https://www.abg.asso.fr/fr
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
seeks to strengthen the bases for the design, use, and deployment of digital twins, addressing key open challenges in model hybridization, composability, development methodologies, digital coupling, and
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 00:00 (Pacific/Saipan) Country Germany Type of Contract Temporary Job Status Full-time
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implementing ground-breaking heat exchanger technologies that advance both theory and practice. From enhancing heat transfer models to building experimental test rigs, you’ll be at the forefront of engineering