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the field of Biotechnology/Biology/Bioprocess engineering or related field Knowledge of genetic engineering, protein production and cell-free approach as well as bioprocess engineering, bioproduction
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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or Cadence Spectre etc.). c) Computational materials science (including tools such as Quantum ATK or VASP etc.). d) Condensed matter physics. Knowledge or experience in at least one of the following topics: e
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(social sciences, political science, economics etc.) Desirable: - good knowledge of quantitative tools of empirical social science research. - experience in academic work; - knolwegde of university
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Your Job: The department of Electrocatalytic Interface Engineering, headed by Prof. Dr.-Ing. Simon Thiele, focuses on the development, characterization and testing of electrochemical systems from
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 3 hours ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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international collaborators’ labs. The applicant should: • have interest in developing and/or applying novel chemical probes to investigate biological functions, • have sound knowledge of organic chemistry, both
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to characterise mice in terms of their cognitive, social and emotional behavioural spectrum Molecular and cell biology analyses of neuroplasticity, endocrinology and immunology using established techniques (e.g
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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in