Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
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
-
. g. single cell sequencing and proteomic). Theoretical and practical knowledge in molecular and cell biology and/or protein chemistry are expected for successful candidates. The candidate should have
-
skills proficiency in English (level B2 to C1 according to the Common European Framework of Reference for Languages); knowledge of German would be an asset Experience in the following areas would be
-
/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
-
these fields is advantageous: Atomic layer deposition, sputtering, XRD, XRR, XPS, SEM. Excellent written and spoken English, knowledge of German is an advantage. Our benefits International and interdisciplinary
-
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