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Field
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. Strong (inter-)national network in field of application. Experience with high-performance computing (HPC) and large datasets. Experience with machine learning applied to geophysical signals. Experience in
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related programs (R-language) excitement in learning new concepts and methods joy in conceptual thinking and critical discussion We offer: an interesting research project embedded in the Biodiversity
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful
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of roles and tasks. Strict expertise in all the technologies is not required. However, a great attitude and willingness to learn is a must. Flexible Work location The selected candidate will offer
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· Willingness to learn mouse protocols for cancer research. · Qualifying competencies include excellent oral and written communication skills. · Excellent self-motivation, organizational skills, creativity
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, and/or quantum communications is desirable; evidence of rapid learning and strong research aptitude is essential. You must be willing and able to undertake international secondments and work effectively
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: Candidates must be eligible to work in the U.S. at the time of hire. Visa sponsorship is not available for this position. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal
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about micronutrient content, intake, digestibility and bioavailability from plant-based diets. Part of the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning
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micronutrient content, intake, digestibility and bioavailability from plant-based diets. Part of the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning legume
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the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning legume fermentation in an industrial scale, investigate the effect of bioprocessing and gain insight to R&I