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Engineering and Analytical Science Civil Engineering Computer Science Electrical and Electronic Engineering Management of Projects in Engineering Mechanical Engineering Academic requirements To be considered
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perform their structure determination leveraging the advanced capabilities of different mass spectrometry techniques, NMR spectroscopy and database searches along with other analytical methods. • You
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to approach work in an analytical, imaginative, and structured way and to work independently on research projects • Good team player and inclination towards acting in networks • Very good communication skills
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experimental research • Ability to approach work in an analytical, imaginative and structured way, and to work independently in research projects • Good team player and inclination towards acting in networks
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good analytical skills, as we expect you to be both a scientist and an engineer. Good to excellent English language skills (spoken as well as written). As the PhD position is highly interdisciplinary
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of assays to characterise ATMPs, including potency, identity, purity, sterility (ELISA, qPCR, flow cytometry, HPLC-based analytics) Process development and technology transfer to GMP Development, optimisation
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with causal inference or debiased machine learning is a plus. - You are creative and have strong analytical skills. - You are a team player, motivated to work in a team of statisticians, and have strong
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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knowledge in Machine/Deep Learning with experience in discriminative models, domain adaptation, and variational inference. Excellent analytical, technical, and problem solving skills Excellent programming
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systems with solid coding skills Mathematical background for modeling and analytics Openness for collaboration within our research group, inside the project, and beyond Curiosity and creativity