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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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ability to integrate into an international and interdisciplinary research environment Joy and expertise in chemical engineering Laboratory experience is required Experience with catalyst synthesis and
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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, information technology or comparable with a master's or diploma degree Experience in FPGA design for different technologies and suppliers like Intel PSG (Altera), Xilinx or Lattice Knowledge in synthesis and
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of ASIC/ FPGA SoC architecture and digital design Proficiency in hardware description languages such as System Verilog, Verilog, or VHDL Programming knowledge in Python and C Experience on frontend and
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experience in the design and manufacturing of mechanical systems fluency in technical and non-technical English a high degree of independence, commitment, team spirit, and good communication skills Optional
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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– Ref No. 11/2025 ): Cover letter detailing your previous research experience and motivation CV with publication list (if applicable) Academic transcripts (Bachelor & Master) Contact details of two
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well as in fuel cells. Some of your responsibilities will include: Design and set-up of new testing equipment and procedures for application-driven characterization of new materials for water electrolysis