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Field
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a related field Experience in python is required Experience in flow chemistry Experience in reactor design is beneficial Experience in process control and PAT Knowledge and interest in closed-loop
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Requirements: Doctoral degree in Chemical Engineering, Chemistry, Computer Science or a related field Proficiency in python and software development Experience with laboratory automation Skilled in database
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microscopy). - Understanding and modification of multi-sensor measurement architecture and control of multiple instruments (Bonsai, LabVIEW). - Data analysis in R and Python and creation of figures
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, Python, Java) and good communication, interpersonal, and problem-solving skills are also required for this role. This role meets the eligibility requirements for a skilled worker certificate of sponsorship
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch or TensorFlow, and comfortable working with large, complex climate datasets in
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statistical techniques. Applicants should be fluent in Python, experienced with modern machine learning frameworks such as PyTorch or TensorFlow, and comfortable working with large, complex climate datasets in
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potential flapper skate egg-laying sites. The postholder will also generate high-resolution maps and reproducible analytical workflows in R, Python, and GIS platforms. The role involves close engagement with
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critical evaluation to current methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and
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and retrieval methods relevant to patient facing assistants, including bi encoder and cross encoder architectures and retrieval augmented generation. Strong programming skills in Python and deep