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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z, et al., EMBO Mol Med. 2022. 4- Optimized full-spectrum flow cytometry panel for deep immunophenotyping
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- Feed-forward loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z et al., EMBO Mol Med. 2022. 4- Optimized full-spectrum flow cytometry panel for deep
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, conductance, analysis and troubleshooting standard molecular biology experiments Enthusiasm to establish and optimize new protocols and techniques Ability to follow GLP compliant SOPs and precision in
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and animal models, optimizing lead candidate therapeutic agents, performing safety and biodistribution studies, characterizing and recruiting patients for the clinical trials, develop clinical outcome
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position Conduct binder discovery campaigns and characterization of novel protein binders Find and implement optimizations of current binder discovery workflows Interact with researchers to support
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characterization strategies, and contribute to the translation of research findings into impactful clinical applications. • Design, optimize, and implement strategies for developing T cell-based therapeutic products
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, characterization and optimization of molecules with drug-like properties, and the development of novel therapeutic concepts. The group follows a highly integrated and multidisciplinary approach, including drug