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software. Ability to multitask and prioritize tasks effectively in a fast-paced environment. Strong interpersonal skills and the ability to work collaboratively with diverse stakeholders. Ability to maintain
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worldwide. INESC MN has a young, innovative and dynamic work environment. Job Description The position to be filled will be for a Researcher with a fixed term contract within the framework of Multispin.AI
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, Previous experience of development of standard operating procedures Previous training & experience with mixed-methods research and Delphi methodologies Preference to work in an interdisciplinary environment
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years in the industry field, or related scientific environment in the field of expertise required for this position. Technical Skills Programming Languages Python, including libraries such as Numpy, Scipy
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perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered
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models in cloud environments such as Amazon AWS Experience with model tracking and deployment tools such as MLFlow, Seldon, and Sagemaker Experience following Software Engineering best-practices including
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diverse environment where you'll collaborate with a broad multidisciplinary team of ML scientists, analysts, software engineers, and product managers. You'll be encouraged to take ownership of your projects
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grow. We are looking for someone who is independent, curious, and motivated; who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where
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at the development of a robotic platform cargo transportation within an industrial environment. The candidate tasks will be: - Assist on the structural design of the system; - Integration of components and software
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Ministry of Environment and Climate Action. 4. Job(s) characterization: Consultative, study, planning, programming, evaluation and application of methods and processes of a technical and/or scientific nature