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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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diverse backgrounds (e.g., economics, computer science, information systems, engineering, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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developing internal work processes Best Practices: Share best practices and lessons learned from project implementation For further information, please contact the Team Leader of the Research Facilitator Group
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, analysis of samples using standard and high throughput biomedical methodologies Analyze and interpret data and results, particularly in collaboration with computational biology experts and prepare
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, exploring the underlying mechanisms that drive behavior change and developing effective interventions in the context of health and well-being For further information about the role, please contact: Prof. Dr
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students. General information: Contract Type: Fixed Term Contract 12 Month Work Hours: Full Time 40.0 Hours per Week Location: Weicker Building Internal Title: Research and development specialist Job
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The postdoctoral researcher will be responsible for designing and implementing a practice-oriented monitoring system, as well as collecting and analysing qualitative data within the EvaCQ project
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: Software engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data PhD Student Role: Under the direction of their supervisor
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standards Actively participate in meetings Collect, manage, and analyze data Present results within the monthly Infectome consortium meetings and at national and international conferences Present the data in
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applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Permanent Work Hours: Full Time 40.0 Hours