13 programming-"https:"-"https:"-"https:"-"BioData" uni jobs at Technical University of Denmark in Denmark
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program Identifying and co-developing AI-based tools to improve our processes and automate workflows Responsible for executing the Annual Management Cycle processes (Strategic Plan; Budget & Action Plan
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their research. We do this through deep engagement, coaching and workshops in our Startup Program, funding and mentor programs, and by providing a shoulder to rely on during rough times. Now, we are looking for a
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programs, communication activities, and data analysis Our expectations of you We are looking for a DTU student who has an interest in international education and preferably experience with international
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project management skills. Desirable Qualifications Experience coordinating a core facility or shared research infrastructure. Programming/scripting experience (e.g., Python, shell scripting) for workflow
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ambassador team and collaborate to attract funding and resources from the financial sector for research projects, hackathons, educational programs, etc Your weekly presence at the Copenhagen Fintech Lab will
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Job Description Do you want to join a new strategic knowledge and innovation programme to enhance university collaboration and student exchange between Denmark and Kenya? And are you passionate
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experience in complex research, innovation, or international development environments from academia or the private sector. You have demonstrated experience managing multi-stakeholder research programs within
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of Danish or a willingness to learn. A strong independent working style and the ability to plan and execute complex tasks effectively. A passion for knowledge transfer and the ability to document and share
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of at least one object-oriented programming language (especially C+) and a database management system. Knowledge of CAPE-OPEN specification (a platform for connecting user model with chemical process
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are to: Build a value chain decision-making tool based on mixed-integer linear programming Develop sensitivity and uncertainty assessment algorithms to assess various scenarios in a biofuel value chain Support