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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
metrology, and quality control for next-generation energy storage devices. [1] https://doi.org/10.1016/j.jpowsour.2024.234050 Scholarship: The award will cover the UK tuition fee level, plus a tax-free
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methods Data analysis, and programming (Python) Experimental membrane biophysics What We Offer: 4-year fixed-term contract (1 + 3 years, 75% FTE, ~39 k€ gross/year, benefits, paid leave) State-of-the-art
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Mediterranean farmland: Setting conservation thresholds and targets using keystone small mammals (COMPETE2030-FEDER-00730000), funded by the ERDF through the COMPETE 2030 Program. Where to apply Website https
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experience in Python and, more specifically, in common deep learning frameworks such as PyTorch and jax, for model training and inference have experience with embedded platforms such as FPGAs or RISC-V
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presentations, peer-reviewed journal articles, open-source software, patent applications and eventually in clinical products. Where to apply Website https://www.academictransfer.com/en/jobs/363003/phd-candidate
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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy
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of the Max Planck Institute for Human Development (Berlin). The candidate will lead arc 1 and 2 of ATLAS (see https://www.mpib-berlin.mpg.de/research/research-centers/lip/projects/atlas ) in all steps
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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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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regularly in its various training and research activities, as well as the weekly seminars in IDAEA-CSIC. Where to apply Website https://www.idaea.csic.es/job-offer/phd-position-understanding-and-predicting-n