102 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"U"-"U.S" PhD positions at Nature Careers
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and computational chemistry/molecular physics Excellent analytic, mathematical, and programming skills Experience with electronic structure calculations incl. excited electronic states Experience with
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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on board! RESEARCH PROGRAM: The Institute of Medical Biochemistry, headed by Prof. Tim Lämmermann, is part of the Centre of Molecular Biology of Inflammation (ZMBE) and embedded within a vibrant
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organic electronics. Moreover, the network will provide Doctoral candidates with exposure to academic and commercial working environments through a balanced secondment plan and access to a complete training
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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communication skills in English and motivation for independent scientific work WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year
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set by the DKFZ PhD Program Strong background in molecular and cellular biology techniques, including high-dimensional flow cytometry, gene expression analysis, cell culture (2D and 3D), and
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The Institute of Science and Technology Austria - ISTA is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the PhD program. We offer fully-funded PhD
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one of 18 structured Ph.D. programs that provide a defined academic framework while allowing you to develop your own research focus. Applications are submitted for specific projects, and you should meet
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
command of written and spoken English Basic programming skills and basic knowledge in the fields of machine learning and material simulations (i.e., quantum chemistry, density-functional theory, machine