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undergraduate and postgraduate levels. The role offers scope to develop research in areas including, but not limited to, causal modelling, reinforcement learning, game theory, AI for Science, AI with human-in
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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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» 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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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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of congenital malformations, with particular expertise in fetoscopic prenatal surgery. This collaboration will also enable the performance of an in vivo animal study, such as in a sheep model, to assess
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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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includes initial appointments, crisis intervention, individual counseling and psychological assessments within the Counseling and Mental Health Center’s (CMHC) established clinical model. The CMHC offers a
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encoded Ca²⁺ indicators, electrophysiology, molecular biology, optogenetics/chemogenetics, and transgenic mouse models to understand how cellular signaling networks coordinate normal gut motility and