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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools
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philosophical analysis. Current case studies examine steroid hormone use by bodybuilders (PI-led) and DIY gender-affirming care (Postdoc-led). Your personal sphere of influence: The PhD Project: The successful
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empirically grounded insights into the aesthetic, lived, and institutional realities of contemporary world literature and its agents. Combining textual analysis with sociological and ethnographic methods, EMLIT
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empirically grounded insights into the aesthetic, lived, and institutional realities of contemporary world literature and its agents. Combining textual analysis with sociological and ethnographic methods, EMLIT
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coastal sediments and their role in polar biogeochemical processes. Your main responsibilities will include: Sampling and geochemical analysis of Antarctic sediment samples Incubation experiments and stable
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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debiased machine learning Heterogeneous treatment effect estimation Longitudinal and survival analysis Propensity score methods and overlap weighting Transportability and generalisability Sensitivity
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candidate to carry out the following functions: Characterize by time resolved THz spectroscopy (TRTS) and THz time domain spectroscopy (THz-TDS) semiconductor samples. Lead the analysis of data and the
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that provide direct optical access to spin-physics and offer a tunability approaching that of cold-atom simulators. The Quantum Opto-Electronics Group (QOEG; https://smolenski-lab.com ), led by Prof. Dr. Tomasz
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
sequencing, developed by Oxford Nanopore Technologies (ONT), enables real-time analysis but introduces relatively high error rates [4,5]. Unlike traditional sequencing technologies, nanopore sequencing