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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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university degree (Master's/Diploma) in biology, food chemistry, biochemistry, biosciences or a related subject area sound knowledge in the fields of plant cultivation and/or plant nutrition experience in
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
, biochemistry, genetics, data science, and related. Fluency in English is mandatory (at least C1); knowledge of French or German is desirable but not required. Applicants must be willing to participate in
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the skills and knowledge to address complex questions in cellular biology. Through a comprehensive interdisciplinary curriculum , research opportunities, and mentorship , our program enables students
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knowledge of electrochemistry and experience with fuel cell test Ability to cooperate across disciplines in an international environment Independent, structured and target oriented way of working Software
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ability to creatively apply multidisciplinary knowledge excellent command of programming and scripting languages readiness to engage in interdisciplinary collaboration at national and international level
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/Diploma) in the field of Biochemistry, Biology, Pharmacy or Chemistry or related field Experience in experimental laboratory work Excellent knowledge of a broad range of biochemical, cell and molecular as
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van der Waals materials; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD
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basic willingness to work experimentally with laboratory animals (preclinical mouse models) is required Very good knowledge of English, German is an asset (helpful for teaching) Organizational and team
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra