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essential criteria: Hold a 2:1 Degree or above BSc in Computer Science, Cyber-security, AI or related. MSc is desirable for this position. Have significant Python programming experience Have familiarity with
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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-free topology (i.e., the theory of frames and lattices) to tackle questions arising in tensor-triangular geometry. There is a particular focus on computing specific examples arising from stable
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Deadline 1 Oct 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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5 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Communication engineering Engineering » Electrical engineering
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 22 days ago
doctoral researchers in the network, rather than by the doctoral researcher alone. What you will do as the doctoral researcher Your own, hands-on responsibilities are experimental and computational: Plan and
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Diseño y
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The post holder will join an Invest NI funded program working towards control and optimisation of ion beams driven by high-power lasers and their potential applications. The experimental work will
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Science: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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computational methods in the fields of theoretical chemistry/physics, particularly for molecular quantum dynamics, electron dynamics and/or tensor network states. Applicants are not expected to have prior