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Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: May 2, 2024   12:18

     
                        
Duties: You will be a part of an international team developing open-source tools capable of supporting the development of multi-disciplinary and multi-objective optimized wind farm control functions for grid compliance and services. If you have the skills but not the experience in wind energy science, we would still like to hear from you. The same is valid if you feel you only have part of the skills, but the desire and ability to improve on the rest
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Knowledge in one or more of the following fields: Data driven methods ideally with application to wind energy science; Data-driven wind farm layout optimization; Data-driven active power control in large wind power plants; Experience in programming with scientific Python

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: June 1, 2024 | Published: May 2, 2024   12:16

     
                        
Duties: Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze protein isoforms
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent); Strong programming skills; Strong background in probabilistic models or strong math/stats background

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: June 1, 2024 | Published: May 2, 2024   12:15

     
                        
Duties: Your objective will be to create the bioinformatic tools that databases that enables isoform-level systems biology
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Strong R programming skills; Experience with developing machine learning models, probabilistic modeling or other bioinformatic tools

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: June 1, 2024 | Published: May 2, 2024   12:14

     
                        
Duties: Your objective will be to create the bioinformatic tools that enables isoform-level analysis of proteomics data as well as apply them within proteomics
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Strong R programming skills; Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell)

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: May 2, 2024   12:13

     
                        
Duties: Your tasks will include research into novel methods for spectral shaping and stabilization of frequency combs. The overall goal will be to devise strategies for programmable optical frequency combs with quantum noise limited performance. Specifically, you will focus on the following areas: Machine learning strategies for designing feedback loops; Subspace tracking and autoencoders for amplitude and phase noise characterization; Building experimental set-ups for optical frequency comb characterization; Maintenance of the GitHub repository for the developed code; Organizing and managing joint experiments with the collaboration groups
Requirements: You have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree and some international experience

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: April 30, 2024   10:58

     
                        
Duties: Carry out research on the integrated digital optical neural networks; Design and develop relevant silicon photonics integrated circuit, tape out for foundry and packaging services; Conduct system demonstrations in real-world neural network applications such as natural language processing tasks with our collaborators in the University of Copenhagen; Disseminating your research findings in highly ranked peer-reviewed journals and international conference proceedings
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; A solid background in optical computing, or optical neural networks; Experience in simulation, design, and characterization of silicon photonics devices and circuits. Prior experience in a cleanroom environment is a plus; A comprehensive understanding of microelectronics and working experience with FPGAs, high-speed transceivers, and PCB design

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 13, 2024 | Published: April 30, 2024   10:56

     
                        
Duties: You will work as part of a team to improve the kinetic modelling software developed by the group as well as integrating the multiomics measurements of HEK cells into a model of HEK glycolysis. Kinetic modelling software is currently limited by the need to numerically approximate the solutions and gradients of large non-linear equation systems. You will work on quantitatively characterising this computational challenge and, if possible, improving on the state of the art
Requirements: Or a two-year master’s degree (120 ECTS points) or equivalent degree in mathematics/systems biology/bioengineering (or a similar degree with an academic level equivalent to a two-year master's degree) and have demonstrated experience in the following areas: Numerical methods; Statistics; Computational biology; Markov Chain Monte Carlo; Collaborative software development using modern methods and tools

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: April 30, 2024   10:54

     
                        
Duties: Develop a linearized aero-elastic wind turbine model with basis in the HAWC2 suite; Link the developed linearized wind turbine model with a wind farm flow field accounting for both conventional atmospheric boundary layer (ABL) turbulence and turbine-turbine inter-action through wakes; Link the developed linearized wind turbine model with a floater and its linearized response to wave and sea states; Facilitate control tuning using modern control theory and wind farm layout optimization
Requirements: The successful candidate has an MSc degree in a relevant engineering field, computer science or physics and is motivated to specialize in control and response of floating wind farms

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: April 30, 2024   10:52

     
                        
Duties: Work with different algae species and test different media and gases based on waste outlet from a recirculating aquaculture farm (RAS); Examine the influence of media and CO2 (biogas) on algae composition (protein, lipid, and fatty acids with focus on their ability to bind CO2 and the long chain PUFA synthesis; Test functionality of algae on fish larval development, performance, fatty acid composition, and microbiome activity; Formulate extruded feeds containing whole-cell meal or extracts of algae and test these in digestibility trials with salmonids; Assess theoretical costs and profitability of using various algae species and their nutritional composition and potential (lipids, FA, proteins)
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 24, 2024 | Published: April 30, 2024   10:48

     
                        
Duties: Your job will be to participate in a larger EU-funded project focusing on the predation on coastal fish. You will explore, analyze, and publish studies on the impact of predation on coastal fish like cod, flounder and eel. Part of your work will be collecting and analyzing seal-scats and cormorant pellets and estimate the total predation on different species using state of the art modeling techniques. You will be provided with a substantial dataset from earlier analyses and data on predation of PIT-tagged cod, flounder and eel from a pilot study. You will also be involved in teaching including supervision of BSc and MSc student projects. One of the work packages in the project focus on incorporating the results of predation quantifications into fisheries management models, so you will also become familiar with single- and multi-species models and their use in modern fisheries management
Requirements: You should hold a M.Sc. degree in Biology, Aquatic Science & Technology or similar. It is also a prerequisite that you familiar with animal behavior and/or freshwater/marine ecology and have experience and keen interest in data science and statistical analyses (preferably using R)

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: June 2, 2024 | Published: April 30, 2024   10:47

     
                        
Duties: You will work on a project to design fluorinated polymers prepared through light-induced polymerization. The design space for finding the optimal composition and synthesis conditions for polymer electrolytes is too vast to explore manually. Therefore, we are combining self-driving labs, high-throughput atomic scale simulations, and AI to transition to digitalization-based automation of electrolyte development. The immediate goal is to create and utilize digital twins to develop high-performing polymer electrolytes for Mg-ion batteries (i.e., high ionic conductivity, coulombic efficiency, and cyclability at a low cost). However, we expect the gained know-how and infrastructure to be transferred to other battery chemistries and power-to-X applications
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Experience with building custom experimental hardware using, e.g., Arduino; Experience in Python programming and git repository; Experience in computational materials science, e.g., DFT simulations

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: April 30, 2024   10:44

     
                        
Duties: The PhD project is expected to break new ground at the absolute forefront of enzyme bioinformatics and discovery research. Apart from being part of a unique International and Interdisciplinary research training program, the PhD project is at the core of DTU’s efforts of pioneering the use of advanced digitalization methods to map, discover, and predict the function of new enzymes to provide new fundamental knowledge and pave the way for new innovative applications
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree, and for this PhD position you must not have worked in Denmark before. Experience with genome and protein sequence analysis, bioinformatics, and Python programming, preferably within enzyme biotechnology is required. Practical experience with carbohydrate processing enzymes and/or SQL is a major advantage

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 26, 2024 | Published: April 30, 2024   10:43

     
                        
Duties: Our research focuses on catalysis and chemistry for the sustainable production of fuels and chemicals. The aim of the PhD project is to develop high-performing and durable supported metal-based catalyst systems for the synthesis of selected organic solvents with industrial importance from renewable resources. Your tasks in the project will include syntheses of catalysts and testing of their performance in both batch and continuous-flow mode. Furthermore, you characterize the materials using various ex-situ techniques and draft scientific publications as well as interim project reports
Requirements: A MSc degree in chemistry, chemical engineering, or other relevant fields; Enthusiasm and a let’s go solve attitude; Creativity, persistence, and attention to detail; Excellent communication skills in English (both spoken and written)

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: June 2, 2024 | Published: April 27, 2024   21:41

     
                        
Duties: Analyze and model structures in large scale data; Collaborate with researchers from both computational and social sciences in an interdisciplinary environment; Co-author scientific papers aimed at high-impact journals; Participate in international conferences
Requirements: You must hold a PhD degree (or equivalent); You must have a background within Computer Science, Applied Mathematics, Physics or related fields; A track record of publishing interesting work within some of those field; Experience with machine learning, incl deep learning; Experience with modeling complex networks or graph neural networks is an advantage; Experiences using transformers is an advantage

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: April 25, 2024   10:53

     
                        
Duties: The position is focused on research, but the candidate should also be prepared for general laboratory responsibilities, teaching, supervision, and outreach tasks. The main responsibilities of the chosen candidates will be to: (1) design, test and optimize new skin adhesive; (2) develop new design principles for water absorbing skin adhesives; (3) maintain and support experimental equipment related to adhesion and skin technologies; (4) support inclusion of these scientific topics in two bachelor courses; (5) supervise bachelor and master project students; (6) initiate new collaborations with relevant partners outside the university
Requirements: Candidates should have (or being close to achieving) a PhD degree in physical chemistry, polymer science or similar, and with a strong background in experimental research; A strong interest in interdisciplinary research; A desire to work across different laboratories and with different partners; A strong collaborative mind-set; A desire to interact with chemistry students at different levels

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 8, 2024 | Published: April 25, 2024   10:52

     
                        
Duties: Nanofabrication of photonic cavities using our state-of-the-art cleanroom facilities at DTU Nanolab; Characterization of nanocavities using optical and electrical methods; In-situ characterization of tunable nanocavities using scanning electron microscopy; Modelling of light-matter interaction using analytical and numerical methods
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Our research relies heavily on theory/numerical design, nanofabrication, and optical experiments and we expect the successful applicants to master at least one of these aspects but we welcome applications from students who have demonstrated excellent academic performance in adjacent fields. All projects in the group are strongly collaborative, and strong interpersonal skills are important

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 31, 2024 | Published: April 25, 2024   10:51

     
                        
Duties: The main responsibilities of the chosen candidates will be to: (1) Select, test and optimize new bio-inspired adhesive formulations for (wet) tissue adhesion; (2) develop new lab-based test methods for wet adhesion performance; (3) perform lab-based tissue-adhesion tests; (4) establish collaborations with relevant partners for in-vivo studies; (5) contribute to applications for additional proof-of-concept and startup funding; (6) take part in planning for potential commercialization
Requirements: Candidates should have (or being close to achieve) a PhD degree in physical chemistry, polymer science or similar, and with a strong background in experimental research; A strong interest in interdisciplinary research; A desire to work across different laboratory and with different partners; A strong collaborative mind-set; A dream of bringing research from the lab to the market

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 8, 2024 | Published: April 25, 2024   10:50

     
                        
Duties: Optimization of the nanofabrication process of thin-film lithium niobate photonics platform, which is one of the key platforms for future quantum photonics computing technologies. The goal of the job is to obtain the ultra-low loss and high-speed thin film lithium niobate photonics platform, and to fabricate the quantum photonic devices designed by the team members based on the optimized nanofabrication process
Requirements: Having good communication skills in English, both written and spoken; Highly experienced in the nanofabrication process optimization of thin-film lithium niobate platforms; Highly experienced in nanofabrication of thin-film lithium niobate photonic devices; Highly experienced in ebeam lithography, thin film deposition, ICP etching process engineering and morphological characterizations; Good team-working spirit

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 15, 2024 | Published: April 25, 2024   10:49

     
                        
Duties: Coordinate student startup recruitment efforts at DTU programmes and departments; Communicate with program participants and stakeholders; Design and coordinate processes relating to our 2 annual program application rounds; Manage our program application system; Help us update and streamline data in our CRM system; Supervise statistics collection and support our data tracking
Requirements: A positive and engaged nature, team oriented, and a co-creating mindset; Excellent administrative skills; Experience in setting up structured processes and maintaining systems; A very structured approach to planning and process development; A relevant education e.g. within public administration or similar; Fluency in English, oral and written, Intermediate in Danish, oral and written

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 7, 2024 | Published: April 24, 2024   11:53

     
                        
Duties: develop research activities in the areas of lipid production/extraction and characterization from microalgae; familiarize her/himself with relevant background literature and disseminate the acquired knowledge to other group members through seminars; write scientific reports and present her/his results at national/international scientific conferences
Requirements: A master’s degree in engineering or equivalent; At least 1 year of experience working in the area of bioprocesses and/or biomass valorisation after obtaining the master's degree; Previous experience with (bio)processes using microalgae; Ability to work independently, responsibility to perform research and meet deadlines; Talent for scientific writing and to give presentations; Excellent skills to communicate (written and spoken) in English

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 30, 2024 | Published: April 23, 2024   10:58

     
                        
Duties: Building advanced optical setups for cutting-edge experiments in quantum photonic technologies; Realizing first multi-qubit photonic devices for quantum information networks; Exploring new routes that bring Quantum Internet a step closer
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent)

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 17, 2024 | Published: April 22, 2024   13:00

     
                        
Duties: The position offers an opportunity to work with a dynamic and multi-disciplinary project. You will carry out research in a team engaged in multiple NMR projects in the field of RNA structural studies, fragment-based drug discovery screening and studies of interactions with their targets (RNA or protein), natural product, the identification of new structural scaffolds and in-situ NMR based metabolomics. The research project will provide opportunities to synthesize RNA using both in vitro transcription and chemically, preform NMR based structural elucidation of the fluorine responsive riboswitch apo and holo form as well as study the dynamic and kinetic structural impact of different ligands and ions on RNA structures. In this position you will also have opportunities to work with undergraduate and graduate students
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent) in structural biology or chemical biology and a strong theoretical and experimental background in NMR spectroscopy and knowledge within structural biology

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 5, 2024 | Published: April 22, 2024   07:47

     
                        
Duties: Engineer yeast strains to assimilate C1 feedstocks; Perform genome mining to identify enzyme candidates using bioinformatic approaches; Characterize enzyme variants using biophysical and biochemical methods; Generate and analyze large enzyme mutant datasets using in vivo directed evolution tools and next-generation sequencing; Implement adaptive laboratory evolution (ALE) campaigns using automation; Report your research results in peer-review scientific publications and international conferences
Requirements: PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area; Experience with yeast genetics, molecular biology, and bioinformatics; Basic programming skills in Python or similar languages; Excellent written and oral English proficiency

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: June 17, 2024 | Published: April 22, 2024   07:47

     
                        
Duties: Conducting high-quality research, resulting in publications in high-impact journals and conferences; Collaborating with academic and industrial partners, both nationally and internationally; Engaging in the mentorship and supervision of BSc and MSc student projects, co-supervising PhD students; Contributing to the teaching at the department as a way to improve your teaching portfolio for applying to academic positions; Participating actively in the research community, including attending and presenting at conferences
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent), in a field related to the general area of IC design, Cyber-Physical Systems or the Computing Continuum; A track record of publishing in high-impact venues; Excellent collaboration and communication skills

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

     Deadline: May 12, 2024 | Published: April 21, 2024   21:16

     
                        
Duties: Develop novel methods for uncertainty quantification in deep learning; Work with state-of-the-art nerual network architectures applied to molecular data; Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS; Assist in machine learning teaching and supervision
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree; Proven experience in Bayesian methods, probabilistic modeling, and probability theory; A strong grasp of the theoretical foundations and practical implementation of Markov chain Monte Carlo (MCMC) methods; Proven experience with implementing machine learning methods in Python and Pytorch/Tensorflow

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